{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/diffusion/papers/ran/3","list_of":"/method/diffusion","method":"Diffusion","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not isolate this method inside it.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":3,"pages_in_order":23,"rows_per_page":100,"rows":[201,300],"of":2249,"counts":{"archive_papers_tagged":13848,"with_a_code_link":5365,"where_syntology_ran_a_sample":2249,"not_listed_spam_title":0,"listed":13848,"listed_where_code_ran":2249,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1969,"every_run_a_failure_of_syntologys_instrument":280,"listed_with_a_run_with_no_instrument_failure":1969,"listed_every_run_a_failure_of_syntologys_instrument":280,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/diffusion/papers/ran/1","prev":"/method/diffusion/papers/ran/2","next":"/method/diffusion/papers/ran/4","papers":[{"paper":"/paper/variational-control-for-guidance-in-diffusion","slug":"variational-control-for-guidance-in-diffusion","title":"Variational Control for Guidance in Diffusion Models","date":"2025-02-06","arxiv_id":"2502.03686","n_code_links":1,"syntology":{"ran":25,"of":37,"n_ran_checked":19,"n_instrument":6,"unverified":12,"pointer_only":0,"phrase":"25 ran (of which 15 constructed an object rather than computing a result; 19 with no instrument failure: 2 honoured, 2 violated, 15 with no contract checked; 6 where Syntology's instrument failed) · 12 unverified","official":{"repos":["czi-ai/oc-guidance"],"state":"official (archive's flag): 25 ran","n_ran":25,"n_constructed":15,"n_ran_no_instrument_failure":19,"n_unverified":12,"ran_from_kinds":["official"]}}},{"paper":"/paper/conceptattention-diffusion-transformers-learn","slug":"conceptattention-diffusion-transformers-learn","title":"ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features","date":"2025-02-06","arxiv_id":"2502.04320","n_code_links":1,"syntology":{"ran":4,"of":9,"n_ran_checked":4,"n_instrument":0,"unverified":5,"pointer_only":9,"phrase":"4 ran (of which 2 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["helblazer811/ConceptAttention"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":2,"n_ran_no_instrument_failure":4,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/t-scend-test-time-scalable-mcts-enhanced","slug":"t-scend-test-time-scalable-mcts-enhanced","title":"T-SCEND: Test-time Scalable MCTS-enhanced Diffusion Model","date":"2025-02-04","arxiv_id":"2502.01989","n_code_links":1,"syntology":{"ran":26,"of":34,"n_ran_checked":19,"n_instrument":7,"unverified":8,"pointer_only":0,"phrase":"26 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 2 honoured, 3 violated, 14 with no contract checked; 7 where Syntology's instrument failed) · 8 unverified","official":{"repos":["ai4science-westlakeu/t_scend"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["found_in_text","official"]}}},{"paper":"/paper/on-the-guidance-of-flow-matching","slug":"on-the-guidance-of-flow-matching","title":"On the Guidance of Flow Matching","date":"2025-02-04","arxiv_id":"2502.02150","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":8,"n_instrument":3,"unverified":2,"pointer_only":0,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ai4science-westlakeu/flow_guidance"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/from-uncertain-to-safe-conformal-fine-tuning","slug":"from-uncertain-to-safe-conformal-fine-tuning","title":"From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control","date":"2025-02-04","arxiv_id":"2502.02205","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":6,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 2 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["ai4science-westlakeu/safediffcon"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/towards-fast-graph-generation-via","slug":"towards-fast-graph-generation-via","title":"Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling","date":"2025-02-04","arxiv_id":"2502.02415","n_code_links":1,"syntology":{"ran":14,"of":14,"n_ran_checked":14,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 1 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["borgwardtlab/anfm"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/generative-modeling-on-lie-groups-via","slug":"generative-modeling-on-lie-groups-via","title":"Generative Modeling on Lie Groups via Euclidean Generalized Score Matching","date":"2025-02-04","arxiv_id":"2502.02513","n_code_links":0,"syntology":{"ran":20,"of":25,"n_ran_checked":5,"n_instrument":15,"unverified":5,"pointer_only":0,"phrase":"20 ran (of which 4 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 15 where Syntology's instrument failed) · 5 unverified","official":null}},{"paper":"/paper/privacy-attacks-on-image-autoregressive","slug":"privacy-attacks-on-image-autoregressive","title":"Privacy Attacks on Image AutoRegressive Models","date":"2025-02-04","arxiv_id":"2502.02514","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["sprintml/privacy_attacks_against_iars"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/code-blockwise-control-for-denoising","slug":"code-blockwise-control-for-denoising","title":"CoDe: Blockwise Control for Denoising Diffusion Models","date":"2025-02-03","arxiv_id":"2502.00968","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["anujinho/code"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/diffusion-model-as-a-noise-aware-latent","slug":"diffusion-model-as-a-noise-aware-latent","title":"Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization","date":"2025-02-03","arxiv_id":"2502.01051","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["kwai-kolors/lpo"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/layertracer-cognitive-aligned-layered-svg","slug":"layertracer-cognitive-aligned-layered-svg","title":"LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer","date":"2025-02-03","arxiv_id":"2502.01105","n_code_links":1,"syntology":{"ran":13,"of":17,"n_ran_checked":10,"n_instrument":3,"unverified":4,"pointer_only":0,"phrase":"13 ran (of which 7 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["showlab/LayerTracer"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":7,"n_ran_no_instrument_failure":10,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/compressed-image-generation-with-denoising","slug":"compressed-image-generation-with-denoising","title":"Compressed Image Generation with Denoising Diffusion Codebook Models","date":"2025-02-03","arxiv_id":"2502.01189","n_code_links":1,"syntology":{"ran":13,"of":20,"n_ran_checked":8,"n_instrument":5,"unverified":7,"pointer_only":14,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 5 where Syntology's instrument failed) · 7 unverified","official":null}},{"paper":"/paper/fine-tuning-discrete-diffusion-models-with","slug":"fine-tuning-discrete-diffusion-models-with","title":"Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods","date":"2025-02-03","arxiv_id":"2502.01384","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":7,"n_instrument":0,"unverified":1,"pointer_only":6,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["ozekri/SEPO"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/improved-training-technique-for-latent","slug":"improved-training-technique-for-latent","title":"Improved Training Technique for Latent Consistency Models","date":"2025-02-03","arxiv_id":"2502.01441","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":1,"n_instrument":6,"unverified":1,"pointer_only":8,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 6 where Syntology's instrument failed) · 1 unverified","official":{"repos":["quandao10/slct"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/reg-rectified-gradient-guidance-for","slug":"reg-rectified-gradient-guidance-for","title":"REG: Rectified Gradient Guidance for Conditional Diffusion Models","date":"2025-01-31","arxiv_id":"2501.18865","n_code_links":0,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/fantastic-targets-for-concept-erasure-in","slug":"fantastic-targets-for-concept-erasure-in","title":"Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them","date":"2025-01-31","arxiv_id":"2501.18950","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["tuananhbui89/adaptive-guided-erasure"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["unlocated"]}}},{"paper":"/paper/visual-autoregressive-modeling-for-image","slug":"visual-autoregressive-modeling-for-image","title":"Visual Autoregressive Modeling for Image Super-Resolution","date":"2025-01-31","arxiv_id":"2501.18993","n_code_links":1,"syntology":{"ran":16,"of":22,"n_ran_checked":13,"n_instrument":3,"unverified":6,"pointer_only":7,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified","official":{"repos":["qyp2000/varsr"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":"/paper/inference-time-text-to-video-alignment-with","slug":"inference-time-text-to-video-alignment-with","title":"Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search","date":"2025-01-31","arxiv_id":"2501.19252","n_code_links":1,"syntology":{"ran":9,"of":10,"n_ran_checked":5,"n_instrument":4,"unverified":1,"pointer_only":6,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 3 honoured, 0 violated, 2 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/langevin-soft-actor-critic-efficient","slug":"langevin-soft-actor-critic-efficient","title":"Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning","date":"2025-01-29","arxiv_id":"2501.17827","n_code_links":1,"syntology":{"ran":6,"of":11,"n_ran_checked":3,"n_instrument":3,"unverified":5,"pointer_only":0,"phrase":"6 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified","official":{"repos":["hmishfaq/lsac"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":1,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/saeuron-interpretable-concept-unlearning-in","slug":"saeuron-interpretable-concept-unlearning-in","title":"SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders","date":"2025-01-29","arxiv_id":"2501.18052","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["cywinski/saeuron"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/diffusion-generative-modeling-for-spatially","slug":"diffusion-generative-modeling-for-spatially","title":"Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images","date":"2025-01-26","arxiv_id":"2501.15598","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":3,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"4 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["SichenZhu/Stem"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/an-efficient-diffusion-based-non","slug":"an-efficient-diffusion-based-non","title":"An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem","date":"2025-01-23","arxiv_id":"2501.13767","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["deitsp/deitsp"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/can-we-generate-images-with-cot-let-s-verify","slug":"can-we-generate-images-with-cot-let-s-verify","title":"Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step","date":"2025-01-23","arxiv_id":"2501.13926","n_code_links":2,"syntology":{"ran":3,"of":4,"n_ran_checked":2,"n_instrument":1,"unverified":1,"pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["ziyuguo99/image-generation-cot"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","unlocated"]}}},{"paper":"/paper/recurrent-diffusion-for-large-scale-parameter","slug":"recurrent-diffusion-for-large-scale-parameter","title":"Recurrent Diffusion for Large-Scale Parameter Generation","date":"2025-01-20","arxiv_id":"2501.11587","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["nus-hpc-ai-lab/recurrent-parameter-generation"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/diffueraser-a-diffusion-model-for-video","slug":"diffueraser-a-diffusion-model-for-video","title":"DiffuEraser: A Diffusion Model for Video Inpainting","date":"2025-01-17","arxiv_id":"2501.10018","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["lixiaowen-xw/diffueraser"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/lossy-compression-with-pretrained-diffusion","slug":"lossy-compression-with-pretrained-diffusion","title":"Lossy Compression with Pretrained Diffusion Models","date":"2025-01-16","arxiv_id":"2501.09815","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["jeremyiv/diffc"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/neurop-diff-continuous-remote-sensing-image","slug":"neurop-diff-continuous-remote-sensing-image","title":"NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion","date":"2025-01-15","arxiv_id":"2501.09054","n_code_links":1,"syntology":{"ran":9,"of":9,"n_ran_checked":9,"n_instrument":0,"unverified":0,"pointer_only":9,"phrase":"9 ran (of which 6 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["zerono000/neurop-diff"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":6,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/venom-text-driven-unrestricted-adversarial","slug":"venom-text-driven-unrestricted-adversarial","title":"VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models","date":"2025-01-14","arxiv_id":"2501.07922","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["huizhg/VENOM"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/gdiffretro-retrosynthesis-prediction-with","slug":"gdiffretro-retrosynthesis-prediction-with","title":"GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation","date":"2025-01-14","arxiv_id":"2501.08001","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["sunshy-1/gdiffretro"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/framepainter-endowing-interactive-image","slug":"framepainter-endowing-interactive-image","title":"FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors","date":"2025-01-14","arxiv_id":"2501.08225","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ybybzhang/framepainter"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/vchitect-2-0-parallel-transformer-for-scaling","slug":"vchitect-2-0-parallel-transformer-for-scaling","title":"Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models","date":"2025-01-14","arxiv_id":"2501.08453","n_code_links":1,"syntology":{"ran":4,"of":7,"n_ran_checked":3,"n_instrument":1,"unverified":3,"pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","official":null}},{"paper":"/paper/likelihood-training-of-cascaded-diffusion","slug":"likelihood-training-of-cascaded-diffusion","title":"Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps","date":"2025-01-13","arxiv_id":"2501.06999","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":4,"n_instrument":3,"unverified":3,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["lihenryhfl/pcdm"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/enhancing-image-generation-fidelity-via","slug":"enhancing-image-generation-fidelity-via","title":"Enhancing Image Generation Fidelity via Progressive Prompts","date":"2025-01-13","arxiv_id":"2501.07070","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":0,"n_instrument":1,"unverified":2,"pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["zhenxiong-dl/icassp2025-rcac"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["unlocated"]}}},{"paper":"/paper/a-general-framework-for-inference-time","slug":"a-general-framework-for-inference-time","title":"A General Framework for Inference-time Scaling and Steering of Diffusion Models","date":"2025-01-12","arxiv_id":"2501.06848","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["zacharyhorvitz/fk-diffusion-steering"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/alignment-without-over-optimization-training","slug":"alignment-without-over-optimization-training","title":"Test-time Alignment of Diffusion Models without Reward Over-optimization","date":"2025-01-10","arxiv_id":"2501.05803","n_code_links":1,"syntology":{"ran":9,"of":12,"n_ran_checked":9,"n_instrument":0,"unverified":3,"pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["krafton-ai/das"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/flowhigh-towards-efficient-and-high-quality","slug":"flowhigh-towards-efficient-and-high-quality","title":"FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching","date":"2025-01-09","arxiv_id":"2501.04926","n_code_links":1,"syntology":{"ran":13,"of":15,"n_ran_checked":12,"n_instrument":1,"unverified":2,"pointer_only":6,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 2 honoured, 3 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["jjunak-yun/FLowHigh_code"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/light-transport-aware-diffusion-posterior","slug":"light-transport-aware-diffusion-posterior","title":"Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes","date":"2025-01-09","arxiv_id":"2501.05226","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["rendervous/cloudy_project"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/the-gan-is-dead-long-live-the-gan-a-modern","slug":"the-gan-is-dead-long-live-the-gan-a-modern","title":"The GAN is dead; long live the GAN! A Modern GAN Baseline","date":"2025-01-09","arxiv_id":"2501.05441","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":7,"n_instrument":2,"unverified":2,"pointer_only":11,"phrase":"9 ran (of which 6 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["brownvc/r3gan"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":6,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/tread-token-routing-for-efficient","slug":"tread-token-routing-for-efficient","title":"TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training","date":"2025-01-08","arxiv_id":"2501.04765","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["compvis/tread"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/diffusion-as-shader-3d-aware-video-diffusion","slug":"diffusion-as-shader-3d-aware-video-diffusion","title":"Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control","date":"2025-01-07","arxiv_id":"2501.03847","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["igl-hkust/diffusionasshader"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/neuralsvg-an-implicit-representation-for-text","slug":"neuralsvg-an-implicit-representation-for-text","title":"NeuralSVG: An Implicit Representation for Text-to-Vector Generation","date":"2025-01-07","arxiv_id":"2501.03992","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":"/paper/establishing-baselines-for-generative","slug":"establishing-baselines-for-generative","title":"Establishing baselines for generative discovery of inorganic crystals","date":"2025-01-04","arxiv_id":"2501.02144","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["bartel-group/matgen_baselines"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/ace-anti-editing-concept-erasure-in-text-to","slug":"ace-anti-editing-concept-erasure-in-text-to","title":"ACE: Anti-Editing Concept Erasure in Text-to-Image Models","date":"2025-01-03","arxiv_id":"2501.01633","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":0,"n_instrument":5,"unverified":0,"pointer_only":5,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified","official":{"repos":["120l020904/ace"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/ingredients-blending-custom-photos-with-video","slug":"ingredients-blending-custom-photos-with-video","title":"Ingredients: Blending Custom Photos with Video Diffusion Transformers","date":"2025-01-03","arxiv_id":"2501.01790","n_code_links":1,"syntology":{"ran":14,"of":22,"n_ran_checked":11,"n_instrument":3,"unverified":8,"pointer_only":4,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 2 honoured, 0 violated, 9 with no contract checked; 3 where Syntology's instrument failed) · 8 unverified","official":{"repos":["feizc/ingredients"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":"/paper/population-aware-diffusion-for-time-series","slug":"population-aware-diffusion-for-time-series","title":"Population Aware Diffusion for Time Series Generation","date":"2025-01-01","arxiv_id":"2501.00910","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":7,"n_instrument":0,"unverified":1,"pointer_only":8,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["wmd3i/PaD-TS"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/dual-diffusion-for-unified-image-generation","slug":"dual-diffusion-for-unified-image-generation","title":"Dual Diffusion for Unified Image Generation and Understanding","date":"2024-12-31","arxiv_id":"2501.00289","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":7,"n_instrument":1,"unverified":1,"pointer_only":1,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/dic-rethinking-conv3x3-designs-in-diffusion","slug":"dic-rethinking-conv3x3-designs-in-diffusion","title":"DiC: Rethinking Conv3x3 Designs in Diffusion Models","date":"2024-12-31","arxiv_id":"2501.00603","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["yuchuantian/dic"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/ltx-video-realtime-video-latent-diffusion","slug":"ltx-video-realtime-video-latent-diffusion","title":"LTX-Video: Realtime Video Latent Diffusion","date":"2024-12-30","arxiv_id":"2501.00103","n_code_links":1,"syntology":{"ran":9,"of":9,"n_ran_checked":9,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["Lightricks/LTX-Video"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/open-sora-democratizing-efficient-video","slug":"open-sora-democratizing-efficient-video","title":"Open-Sora: Democratizing Efficient Video Production for All","date":"2024-12-29","arxiv_id":"2412.20404","n_code_links":2,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["hpcaitech/open-sora"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/eraseanything-enabling-concept-erasure-in","slug":"eraseanything-enabling-concept-erasure-in","title":"EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers","date":"2024-12-29","arxiv_id":"2412.20413","n_code_links":1,"syntology":{"ran":11,"of":16,"n_ran_checked":11,"n_instrument":0,"unverified":5,"pointer_only":1,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["tomguluson92/eraseanything"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/videomaker-zero-shot-customized-video","slug":"videomaker-zero-shot-customized-video","title":"VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models","date":"2024-12-27","arxiv_id":"2412.19645","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/ditctrl-exploring-attention-control-in-multi","slug":"ditctrl-exploring-attention-control-in-multi","title":"DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation","date":"2024-12-24","arxiv_id":"2412.18597","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["tencentarc/ditctrl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/score-based-generative-diffusion-models-for","slug":"score-based-generative-diffusion-models-for","title":"Score-based Generative Diffusion Models for Social Recommendations","date":"2024-12-20","arxiv_id":"2412.15579","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["anonymous-coderepository/score-based-generative-diffusion-models-for-social-recommendations-sgsr"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/personalized-representation-from-personalized","slug":"personalized-representation-from-personalized","title":"Personalized Representation from Personalized Generation","date":"2024-12-20","arxiv_id":"2412.16156","n_code_links":1,"syntology":{"ran":10,"of":15,"n_ran_checked":9,"n_instrument":1,"unverified":5,"pointer_only":1,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["ssundaram21/personalized-rep"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/video-prediction-policy-a-generalist-robot","slug":"video-prediction-policy-a-generalist-robot","title":"Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations","date":"2024-12-19","arxiv_id":"2412.14803","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":3,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"4 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/dctdiff-intriguing-properties-of-image","slug":"dctdiff-intriguing-properties-of-image","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","date":"2024-12-19","arxiv_id":"2412.15032","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["forever208/dctdiff"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/autoregressive-video-generation-without","slug":"autoregressive-video-generation-without","title":"Autoregressive Video Generation without Vector Quantization","date":"2024-12-18","arxiv_id":"2412.14169","n_code_links":1,"syntology":{"ran":19,"of":26,"n_ran_checked":19,"n_instrument":0,"unverified":7,"pointer_only":0,"phrase":"19 ran (of which 18 constructed an object rather than computing a result; 19 with no instrument failure: 0 honoured, 0 violated, 19 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified","official":{"repos":["baaivision/nova"],"state":"official (archive's flag): 19 ran","n_ran":19,"n_constructed":18,"n_ran_no_instrument_failure":19,"n_unverified":7,"ran_from_kinds":["official"]}}},{"paper":"/paper/efficient-diffusion-transformer-policies-with","slug":"efficient-diffusion-transformer-policies-with","title":"Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning","date":"2024-12-17","arxiv_id":"2412.12953","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":7,"n_instrument":3,"unverified":1,"pointer_only":3,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/archesweather-archesweathergen-a","slug":"archesweather-archesweathergen-a","title":"ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting","date":"2024-12-17","arxiv_id":"2412.12971","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["inria/geoarches"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/attentive-eraser-unleashing-diffusion-model-s","slug":"attentive-eraser-unleashing-diffusion-model-s","title":"Attentive Eraser: Unleashing Diffusion Model's Object Removal Potential via Self-Attention Redirection Guidance","date":"2024-12-17","arxiv_id":"2412.12974","n_code_links":1,"syntology":{"ran":9,"of":13,"n_ran_checked":9,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["anonym0u3/attentiveeraser"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/mpq-dm-mixed-precision-quantization-for","slug":"mpq-dm-mixed-precision-quantization-for","title":"MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models","date":"2024-12-16","arxiv_id":"2412.11549","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":6,"n_instrument":5,"unverified":2,"pointer_only":3,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 2 violated, 4 with no contract checked; 5 where Syntology's instrument failed) · 2 unverified","official":{"repos":["cantbebetter2/mpq-dm"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/causal-diffusion-transformers-for-generative","slug":"causal-diffusion-transformers-for-generative","title":"Causal Diffusion Transformers for Generative Modeling","date":"2024-12-16","arxiv_id":"2412.12095","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":6,"n_instrument":2,"unverified":2,"pointer_only":10,"phrase":"8 ran (of which 3 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["causalfusion/causalfusion"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":3,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/shmt-self-supervised-hierarchical-makeup","slug":"shmt-self-supervised-hierarchical-makeup","title":"SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models","date":"2024-12-15","arxiv_id":"2412.11058","n_code_links":2,"syntology":{"ran":8,"of":10,"n_ran_checked":5,"n_instrument":3,"unverified":2,"pointer_only":10,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 3 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["snowfallingplum/shmt"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/zigzag-diffusion-sampling-the-path-to-success","slug":"zigzag-diffusion-sampling-the-path-to-success","title":"Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection","date":"2024-12-14","arxiv_id":"2412.10891","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":2,"n_instrument":1,"unverified":1,"pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["xie-lab-ml/zigzag-diffusion-sampling"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/leveraging-programmatically-generated","slug":"leveraging-programmatically-generated","title":"Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training","date":"2024-12-13","arxiv_id":"2412.09842","n_code_links":1,"syntology":{"ran":12,"of":13,"n_ran_checked":11,"n_instrument":1,"unverified":1,"pointer_only":13,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 2 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["uzn36/dp-syngen"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/simple-guidance-mechanisms-for-discrete","slug":"simple-guidance-mechanisms-for-discrete","title":"Simple Guidance Mechanisms for Discrete Diffusion Models","date":"2024-12-13","arxiv_id":"2412.10193","n_code_links":1,"syntology":{"ran":18,"of":23,"n_ran_checked":18,"n_instrument":0,"unverified":5,"pointer_only":3,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 1 honoured, 0 violated, 17 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["kuleshov-group/discrete-diffusion-guidance"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":1,"ran_from_kinds":["found_in_text","official"]}}},{"paper":"/paper/a-universal-degradation-based-bridging","slug":"a-universal-degradation-based-bridging","title":"A Universal Degradation-based Bridging Technique for Domain Adaptive Semantic Segmentation","date":"2024-12-13","arxiv_id":"2412.10339","n_code_links":0,"syntology":{"ran":9,"of":10,"n_ran_checked":6,"n_instrument":3,"unverified":1,"pointer_only":10,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 3 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/arbitrary-steps-image-super-resolution-via","slug":"arbitrary-steps-image-super-resolution-via","title":"Arbitrary-steps Image Super-resolution via Diffusion Inversion","date":"2024-12-12","arxiv_id":"2412.09013","n_code_links":1,"syntology":{"ran":8,"of":8,"n_ran_checked":6,"n_instrument":2,"unverified":0,"pointer_only":8,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["zsyoaoa/invsr"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/latentsync-audio-conditioned-latent-diffusion","slug":"latentsync-audio-conditioned-latent-diffusion","title":"LatentSync: Audio Conditioned Latent Diffusion Models for Lip Sync","date":"2024-12-12","arxiv_id":"2412.09262","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["bytedance/LatentSync"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/auto-regressive-moving-diffusion-models-for","slug":"auto-regressive-moving-diffusion-models-for","title":"Auto-Regressive Moving Diffusion Models for Time Series Forecasting","date":"2024-12-12","arxiv_id":"2412.09328","n_code_links":1,"syntology":{"ran":20,"of":20,"n_ran_checked":19,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"20 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 4 honoured, 2 violated, 13 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["daxin007/armd"],"state":"official (archive's flag): 20 ran","n_ran":20,"n_constructed":0,"n_ran_no_instrument_failure":19,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/diffusion-predictive-control-with-constraints","slug":"diffusion-predictive-control-with-constraints","title":"Diffusion Predictive Control with Constraints","date":"2024-12-12","arxiv_id":"2412.09342","n_code_links":1,"syntology":{"ran":7,"of":11,"n_ran_checked":7,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["ralfroemer99/dpcc"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/dispose-disentangling-pose-guidance-for","slug":"dispose-disentangling-pose-guidance-for","title":"DisPose: Disentangling Pose Guidance for Controllable Human Image Animation","date":"2024-12-12","arxiv_id":"2412.09349","n_code_links":1,"syntology":{"ran":14,"of":18,"n_ran_checked":13,"n_instrument":1,"unverified":4,"pointer_only":18,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 2 violated, 11 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["lihxxx/dispose"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/oftsr-one-step-flow-for-image-super","slug":"oftsr-one-step-flow-for-image-super","title":"OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs","date":"2024-12-12","arxiv_id":"2412.09465","n_code_links":1,"syntology":{"ran":12,"of":16,"n_ran_checked":9,"n_instrument":3,"unverified":4,"pointer_only":1,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["yuanzhi-zhu/oftsr"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/invdiff-invariant-guidance-for-bias","slug":"invdiff-invariant-guidance-for-bias","title":"InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models","date":"2024-12-11","arxiv_id":"2412.08480","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":7,"n_instrument":2,"unverified":2,"pointer_only":2,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["hundredl/invdiff"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/learning-flow-fields-in-attention-for","slug":"learning-flow-fields-in-attention-for","title":"Learning Flow Fields in Attention for Controllable Person Image Generation","date":"2024-12-11","arxiv_id":"2412.08486","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["franciszzj/leffa"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/tryoffanyone-tiled-cloth-generation-from-a","slug":"tryoffanyone-tiled-cloth-generation-from-a","title":"TryOffAnyone: Tiled Cloth Generation from a Dressed Person","date":"2024-12-11","arxiv_id":"2412.08573","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"pointer_only":5,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ixarchakos/try-off-anyone"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/flowedit-inversion-free-text-based-editing","slug":"flowedit-inversion-free-text-based-editing","title":"FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models","date":"2024-12-11","arxiv_id":"2412.08629","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["fallenshock/FlowEdit"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/generative-modeling-with-explicit-memory","slug":"generative-modeling-with-explicit-memory","title":"Generative Modeling with Explicit Memory","date":"2024-12-11","arxiv_id":"2412.08781","n_code_links":1,"syntology":{"ran":13,"of":15,"n_ran_checked":8,"n_instrument":5,"unverified":2,"pointer_only":15,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 1 violated, 5 with no contract checked; 5 where Syntology's instrument failed) · 2 unverified","official":{"repos":["lins-lab/gmem"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/fire-robust-detection-of-diffusion-generated","slug":"fire-robust-detection-of-diffusion-generated","title":"FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error","date":"2024-12-10","arxiv_id":"2412.07140","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["Chuchad/FIRE"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/trasce-trajectory-steering-for-concept","slug":"trasce-trajectory-steering-for-concept","title":"TraSCE: Trajectory Steering for Concept Erasure","date":"2024-12-10","arxiv_id":"2412.07658","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["anubhav1997/trasce"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/acdit-interpolating-autoregressive","slug":"acdit-interpolating-autoregressive","title":"ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer","date":"2024-12-10","arxiv_id":"2412.07720","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":4,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["thunlp/acdit"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/syncammaster-synchronizing-multi-camera-video","slug":"syncammaster-synchronizing-multi-camera-video","title":"SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints","date":"2024-12-10","arxiv_id":"2412.07760","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["kwaivgi/syncammaster"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/generative-modeling-and-data-augmentation-for","slug":"generative-modeling-and-data-augmentation-for","title":"Generative Modeling and Data Augmentation for Power System Production Simulation","date":"2024-12-10","arxiv_id":"2412.12146","n_code_links":1,"syntology":{"ran":11,"of":17,"n_ran_checked":11,"n_instrument":0,"unverified":6,"pointer_only":17,"phrase":"11 ran (of which 9 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","official":{"repos":["Becklishious/NeurIPS2024"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":9,"n_ran_no_instrument_failure":10,"n_unverified":6,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/precise-fast-and-low-cost-concept-erasure-in","slug":"precise-fast-and-low-cost-concept-erasure-in","title":"Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters","date":"2024-12-09","arxiv_id":"2412.06143","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":5,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["wyuan1001/adavd"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/normalizing-flows-are-capable-generative","slug":"normalizing-flows-are-capable-generative","title":"Normalizing Flows are Capable Generative Models","date":"2024-12-09","arxiv_id":"2412.06329","n_code_links":3,"syntology":{"ran":4,"of":4,"n_ran_checked":3,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["apple/ml-tarflow"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/you-see-it-you-got-it-learning-3d-creation-on","slug":"you-see-it-you-got-it-learning-3d-creation-on","title":"You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale","date":"2024-12-09","arxiv_id":"2412.06699","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":2,"n_instrument":2,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 2 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["baaivision/See3D"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/around-the-world-in-80-timesteps-a-generative","slug":"around-the-world-in-80-timesteps-a-generative","title":"Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation","date":"2024-12-09","arxiv_id":"2412.06781","n_code_links":1,"syntology":{"ran":4,"of":7,"n_ran_checked":4,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["nicolas-dufour/plonk"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/tactile-dreamfusion-exploiting-tactile","slug":"tactile-dreamfusion-exploiting-tactile","title":"Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation","date":"2024-12-09","arxiv_id":"2412.06785","n_code_links":1,"syntology":{"ran":14,"of":18,"n_ran_checked":14,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 1 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["ruihangao/tactiledreamfusion"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/mask-is-all-you-need","slug":"mask-is-all-you-need","title":"[MASK] is All You Need","date":"2024-12-09","arxiv_id":"2412.06787","n_code_links":1,"syntology":{"ran":9,"of":14,"n_ran_checked":2,"n_instrument":7,"unverified":5,"pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 7 where Syntology's instrument failed) · 5 unverified","official":{"repos":["CompVis/mask"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":5,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/boosting-alignment-for-post-unlearning-text","slug":"boosting-alignment-for-post-unlearning-text","title":"Boosting Alignment for Post-Unlearning Text-to-Image Generative Models","date":"2024-12-09","arxiv_id":"2412.07808","n_code_links":1,"syntology":{"ran":13,"of":16,"n_ran_checked":6,"n_instrument":7,"unverified":3,"pointer_only":16,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 3 honoured, 1 violated, 2 with no contract checked; 7 where Syntology's instrument failed) · 3 unverified","official":{"repos":["reds-lab/restricted_gradient_diversity_unlearning"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/on-diffusion-posterior-sampling-via","slug":"on-diffusion-posterior-sampling-via","title":"On Diffusion Posterior Sampling via Sequential Monte Carlo for Zero-Shot Scaffolding of Protein Motifs","date":"2024-12-08","arxiv_id":"2412.05788","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":2,"n_instrument":0,"unverified":1,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["matsagad/mres-project"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/topocellgen-generating-histopathology-cell","slug":"topocellgen-generating-histopathology-cell","title":"TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model","date":"2024-12-08","arxiv_id":"2412.06011","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":3,"n_instrument":3,"unverified":0,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["melon-xu/topocellgen"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/remix-dit-mixing-diffusion-transformers-for","slug":"remix-dit-mixing-diffusion-transformers-for","title":"Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising","date":"2024-12-07","arxiv_id":"2412.05628","n_code_links":1,"syntology":{"ran":12,"of":16,"n_ran_checked":5,"n_instrument":7,"unverified":4,"pointer_only":16,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 4 honoured, 0 violated, 1 with no contract checked; 7 where Syntology's instrument failed) · 4 unverified","official":{"repos":["vainf/remix-dit"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/wavelet-diffusion-neural-operator","slug":"wavelet-diffusion-neural-operator","title":"Wavelet Diffusion Neural Operator","date":"2024-12-06","arxiv_id":"2412.04833","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":10,"n_instrument":1,"unverified":2,"pointer_only":2,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 3 honoured, 1 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["AI4Science-WestlakeU/wdno"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/infinity-scaling-bitwise-autoregressive","slug":"infinity-scaling-bitwise-autoregressive","title":"Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis","date":"2024-12-05","arxiv_id":"2412.04431","n_code_links":2,"syntology":{"ran":14,"of":19,"n_ran_checked":5,"n_instrument":9,"unverified":5,"pointer_only":4,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 9 where Syntology's instrument failed) · 5 unverified","official":{"repos":["FoundationVision/Infinity"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official","unlocated"]}}},{"paper":"/paper/hidden-in-the-noise-two-stage-robust","slug":"hidden-in-the-noise-two-stage-robust","title":"Hidden in the Noise: Two-Stage Robust Watermarking for Images","date":"2024-12-05","arxiv_id":"2412.04653","n_code_links":1,"syntology":{"ran":12,"of":16,"n_ran_checked":9,"n_instrument":3,"unverified":4,"pointer_only":16,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 1 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["Kasraarabi/Hidden-in-the-Noise"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/pixel-level-and-semantic-level-adjustable","slug":"pixel-level-and-semantic-level-adjustable","title":"Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach","date":"2024-12-04","arxiv_id":"2412.03017","n_code_links":2,"syntology":{"ran":22,"of":24,"n_ran_checked":16,"n_instrument":6,"unverified":2,"pointer_only":17,"phrase":"22 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 2 honoured, 1 violated, 13 with no contract checked; 6 where Syntology's instrument failed) · 2 unverified","official":{"repos":["csslc/pisa-sr"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/cleandift-diffusion-features-without-noise","slug":"cleandift-diffusion-features-without-noise","title":"CleanDIFT: Diffusion Features without Noise","date":"2024-12-04","arxiv_id":"2412.03439","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":5,"n_instrument":0,"unverified":0,"pointer_only":5,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["CompVis/cleandift"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/mv-adapter-multi-view-consistent-image","slug":"mv-adapter-multi-view-consistent-image","title":"MV-Adapter: Multi-view Consistent Image Generation Made Easy","date":"2024-12-04","arxiv_id":"2412.03632","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":6,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/accdiffusion-v2-towards-more-accurate-higher","slug":"accdiffusion-v2-towards-more-accurate-higher","title":"AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation","date":"2024-12-03","arxiv_id":"2412.02099","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":6,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["lzhxmu/accdiffusion_v2"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}}],"record_sha256":"50713fb4feff1e4da7bc84dc701d39c70b64c600a7733162a9c1da6c4182dd19","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}