{"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/2","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":2,"pages_in_order":23,"rows_per_page":100,"rows":[101,200],"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/1","next":"/method/diffusion/papers/ran/3","papers":[{"paper":"/paper/text-based-animatable-3d-avatars-with","slug":"text-based-animatable-3d-avatars-with","title":"Text-based Animatable 3D Avatars with Morphable Model Alignment","date":"2025-04-22","arxiv_id":"2504.15835","n_code_links":1,"syntology":{"ran":10,"of":12,"n_ran_checked":9,"n_instrument":1,"unverified":2,"pointer_only":2,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["onethousand1000/animportrait3d"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/adversarial-observations-in-weather","slug":"adversarial-observations-in-weather","title":"Adversarial Observations in Weather Forecasting","date":"2025-04-22","arxiv_id":"2504.15942","n_code_links":1,"syntology":{"ran":16,"of":19,"n_ran_checked":16,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 0 violated, 16 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["mlsec-group/adversarial-observations"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":16,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/manifold-induced-biases-for-zero-shot-and-few","slug":"manifold-induced-biases-for-zero-shot-and-few","title":"Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images","date":"2025-04-21","arxiv_id":"2504.15470","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":1,"n_instrument":6,"unverified":0,"pointer_only":7,"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) · 0 unverified","official":{"repos":["jonathanbrok/manifold-induced-biases-for-zero-shot-and-few-shot-detection-of-generated-images"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/weathergen-a-unified-diverse-weather","slug":"weathergen-a-unified-diverse-weather","title":"WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion","date":"2025-04-18","arxiv_id":"2504.13561","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":9,"n_instrument":1,"unverified":1,"pointer_only":0,"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) · 1 unverified","official":{"repos":["wuyang98/weathergen"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/packing-input-frame-context-in-next-frame","slug":"packing-input-frame-context-in-next-frame","title":"Packing Input Frame Context in Next-Frame Prediction Models for Video Generation","date":"2025-04-17","arxiv_id":"2504.12626","n_code_links":1,"syntology":{"ran":12,"of":14,"n_ran_checked":12,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["lllyasviel/framepack"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/aligning-generative-denoising-with","slug":"aligning-generative-denoising-with","title":"Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception","date":"2025-04-15","arxiv_id":"2504.11457","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":0,"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) · 1 unverified","official":{"repos":["ziqipang/addp"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/repa-e-unlocking-vae-for-end-to-end-tuning","slug":"repa-e-unlocking-vae-for-end-to-end-tuning","title":"REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers","date":"2025-04-14","arxiv_id":"2504.10483","n_code_links":2,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":3,"phrase":"3 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; 3 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/spice-a-synergistic-precise-iterative-and","slug":"spice-a-synergistic-precise-iterative-and","title":"SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing Workflow","date":"2025-04-13","arxiv_id":"2504.09697","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":3,"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) · 0 unverified","official":{"repos":["kenantang/spice"],"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/hierarchical-protein-backbone-generation-with","slug":"hierarchical-protein-backbone-generation-with","title":"Hierarchical protein backbone generation with latent and structure diffusion","date":"2025-04-12","arxiv_id":"2504.09374","n_code_links":0,"syntology":{"ran":9,"of":18,"n_ran_checked":7,"n_instrument":2,"unverified":9,"pointer_only":0,"phrase":"9 ran (of which 4 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 1 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified","official":null}},{"paper":"/paper/diffusion-transformers-for-tabular-data-time","slug":"diffusion-transformers-for-tabular-data-time","title":"Diffusion Transformers for Tabular Data Time Series Generation","date":"2025-04-10","arxiv_id":"2504.07566","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":2,"n_instrument":1,"unverified":2,"pointer_only":1,"phrase":"3 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; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["fabriziogaruti/TabDiT"],"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":["community","official"]}}},{"paper":"/paper/continuous-locomotive-crowd-behavior","slug":"continuous-locomotive-crowd-behavior","title":"Continuous Locomotive Crowd Behavior Generation","date":"2025-04-07","arxiv_id":"2504.04756","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"5 ran (of which 3 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":["inhwanbae/crowdes"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":3,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/tabrep-a-simple-and-effective-continuous","slug":"tabrep-a-simple-and-effective-continuous","title":"TabRep: a Simple and Effective Continuous Representation for Training Tabular Diffusion Models","date":"2025-04-07","arxiv_id":"2504.04798","n_code_links":1,"syntology":{"ran":18,"of":19,"n_ran_checked":12,"n_instrument":6,"unverified":1,"pointer_only":4,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 2 honoured, 0 violated, 10 with no contract checked; 6 where Syntology's instrument failed) · 1 unverified","official":{"repos":["jacobyhsi/TabRep"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/gaussian-mixture-flow-matching-models","slug":"gaussian-mixture-flow-matching-models","title":"Gaussian Mixture Flow Matching Models","date":"2025-04-07","arxiv_id":"2504.05304","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":2,"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":["lakonik/gmflow"],"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/model-reveals-what-to-cache-profiling-based","slug":"model-reveals-what-to-cache-profiling-based","title":"Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models","date":"2025-04-04","arxiv_id":"2504.03140","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 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":["geekguru123/profilingdit"],"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/safeguarding-vision-language-models","slug":"safeguarding-vision-language-models","title":"Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks","date":"2025-04-02","arxiv_id":"2504.01308","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":4,"n_instrument":1,"unverified":0,"pointer_only":5,"phrase":"5 ran (of which 1 constructed an object rather than computing a result; 4 with no instrument failure: 3 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["jarvisustc/diffpure-robustvlm"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":1,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/illume-illuminating-unified-mllm-with-dual","slug":"illume-illuminating-unified-mllm-with-dual","title":"ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement","date":"2025-04-02","arxiv_id":"2504.01934","n_code_links":1,"syntology":{"ran":19,"of":20,"n_ran_checked":18,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 0 honoured, 1 violated, 17 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/less-to-more-generalization-unlocking-more","slug":"less-to-more-generalization-unlocking-more","title":"Less-to-More Generalization: Unlocking More Controllability by In-Context Generation","date":"2025-04-02","arxiv_id":"2504.02160","n_code_links":1,"syntology":{"ran":13,"of":43,"n_ran_checked":6,"n_instrument":7,"unverified":30,"pointer_only":0,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 7 where Syntology's instrument failed) · 30 unverified","official":{"repos":["bytedance/uno"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":30,"ran_from_kinds":["official"]}}},{"paper":"/paper/enhancing-creative-generation-on-stable","slug":"enhancing-creative-generation-on-stable","title":"Enhancing Creative Generation on Stable Diffusion-based Models","date":"2025-03-30","arxiv_id":"2503.23538","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":["daheekwon/c3"],"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/imperceptible-but-forgeable-practical","slug":"imperceptible-but-forgeable-practical","title":"WMCopier: Forging Invisible Image Watermarks on Arbitrary Images","date":"2025-03-28","arxiv_id":"2503.22330","n_code_links":0,"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":null}},{"paper":"/paper/towards-generating-realistic-3d-semantic","slug":"towards-generating-realistic-3d-semantic","title":"Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving","date":"2025-03-27","arxiv_id":"2503.21449","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":4,"n_instrument":0,"unverified":1,"pointer_only":2,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 2 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["prbonn/3diss"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/critical-iterative-denoising-a-discrete","slug":"critical-iterative-denoising-a-discrete","title":"Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs","date":"2025-03-27","arxiv_id":"2503.21592","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 2 constructed an object rather than computing a result; 6 with no instrument failure: 3 honoured, 1 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/dissecting-and-mitigating-diffusion-bias-via","slug":"dissecting-and-mitigating-diffusion-bias-via","title":"Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability","date":"2025-03-26","arxiv_id":"2503.20483","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 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":null}},{"paper":"/paper/learning-hazing-to-dehazing-towards-realistic-1","slug":"learning-hazing-to-dehazing-towards-realistic-1","title":"Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing","date":"2025-03-25","arxiv_id":"2503.19262","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"3 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ruiyi-w/learning-hazing-to-dehazing"],"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"]}}},{"paper":"/paper/unimomo-unified-generative-modeling-of-3d","slug":"unimomo-unified-generative-modeling-of-3d","title":"UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design","date":"2025-03-25","arxiv_id":"2503.19300","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: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["kxz18/UniMoMo"],"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/correcting-deviations-from-normality-a","slug":"correcting-deviations-from-normality-a","title":"Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection","date":"2025-03-25","arxiv_id":"2503.19357","n_code_links":1,"syntology":{"ran":14,"of":15,"n_ran_checked":9,"n_instrument":5,"unverified":1,"pointer_only":9,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 3 honoured, 2 violated, 4 with no contract checked; 5 where Syntology's instrument failed) · 1 unverified","official":{"repos":["farzad-bz/DeCo-Diff"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/dita-scaling-diffusion-transformer-for","slug":"dita-scaling-diffusion-transformer-for","title":"Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy","date":"2025-03-25","arxiv_id":"2503.19757","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"2 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; 1 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/instruct-clip-improving-instruction-guided","slug":"instruct-clip-improving-instruction-guided","title":"Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning","date":"2025-03-24","arxiv_id":"2503.18406","n_code_links":1,"syntology":{"ran":2,"of":6,"n_ran_checked":1,"n_instrument":1,"unverified":4,"pointer_only":0,"phrase":"2 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; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["sherryxtchen/instruct-clip"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/latent-space-super-resolution-for-higher","slug":"latent-space-super-resolution-for-higher","title":"Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models","date":"2025-03-24","arxiv_id":"2503.18446","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":5,"n_instrument":0,"unverified":3,"pointer_only":8,"phrase":"5 ran (of which 5 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) · 3 unverified; every one of the 5 samples that ran constructed an object rather than computing a result","official":{"repos":["3587jjh/lsrna"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":5,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/thermalizer-stable-autoregressive-neural","slug":"thermalizer-stable-autoregressive-neural","title":"Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos","date":"2025-03-24","arxiv_id":"2503.18731","n_code_links":0,"syntology":{"ran":5,"of":7,"n_ran_checked":4,"n_instrument":1,"unverified":2,"pointer_only":7,"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) · 2 unverified","official":null}},{"paper":"/paper/uni-3dar-unified-3d-generation-and","slug":"uni-3dar-unified-3d-generation-and","title":"Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens","date":"2025-03-20","arxiv_id":"2503.16278","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":8,"n_instrument":0,"unverified":1,"pointer_only":2,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["dptech-corp/uni-3dar"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/unleashing-vecset-diffusion-model-for-fast","slug":"unleashing-vecset-diffusion-model-for-fast","title":"Unleashing Vecset Diffusion Model for Fast Shape Generation","date":"2025-03-20","arxiv_id":"2503.16302","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":2,"n_instrument":1,"unverified":2,"pointer_only":5,"phrase":"3 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; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["tencent/flashvdm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/infiniteyou-flexible-photo-recrafting-while","slug":"infiniteyou-flexible-photo-recrafting-while","title":"InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity","date":"2025-03-20","arxiv_id":"2503.16418","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":4,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["bytedance/infiniteyou"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/wavefm-a-high-fidelity-and-efficient-vocoder","slug":"wavefm-a-high-fidelity-and-efficient-vocoder","title":"WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching","date":"2025-03-20","arxiv_id":"2503.16689","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":4,"phrase":"3 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; 0 where Syntology's instrument failed) · 1 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","official":{"repos":["luotianze666/wavefm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/fp4dit-towards-effective-floating-point","slug":"fp4dit-towards-effective-floating-point","title":"FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers","date":"2025-03-19","arxiv_id":"2503.15465","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":2,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["cccrrrccc/fp4dit"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/learning-distributions-of-complex-fluid","slug":"learning-distributions-of-complex-fluid","title":"Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks","date":"2025-03-19","arxiv_id":"2504.02843","n_code_links":0,"syntology":{"ran":8,"of":8,"n_ran_checked":8,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"8 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; 0 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/leanvae-an-ultra-efficient-reconstruction-vae","slug":"leanvae-an-ultra-efficient-reconstruction-vae","title":"LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models","date":"2025-03-18","arxiv_id":"2503.14325","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":2,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"2 ran (of which 2 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) · 2 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","official":{"repos":["westlake-repl/leanvae"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/dtgbrepgen-a-novel-b-rep-generative-model","slug":"dtgbrepgen-a-novel-b-rep-generative-model","title":"DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry","date":"2025-03-17","arxiv_id":"2503.13110","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":5,"n_instrument":0,"unverified":3,"pointer_only":8,"phrase":"5 ran (of which 3 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) · 3 unverified","official":{"repos":["jinli99/dtgbrepgen"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":3,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/localized-concept-erasure-for-text-to-image","slug":"localized-concept-erasure-for-text-to-image","title":"Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation","date":"2025-03-16","arxiv_id":"2503.12356","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":2,"n_instrument":0,"unverified":2,"pointer_only":4,"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) · 2 unverified","official":{"repos":["Hyun1A/GLoCE"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/reflect-dit-inference-time-scaling-for-text-1","slug":"reflect-dit-inference-time-scaling-for-text-1","title":"Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection","date":"2025-03-15","arxiv_id":"2503.12271","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":1,"n_instrument":0,"unverified":2,"pointer_only":3,"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) · 2 unverified; the one sample that ran constructed an object rather than computing a result","official":null}},{"paper":"/paper/towards-better-alignment-training-diffusion","slug":"towards-better-alignment-training-diffusion","title":"Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards","date":"2025-03-14","arxiv_id":"2503.11240","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":{"repos":["hu-zijing/b2-diffurl"],"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/advpaint-protecting-images-from-inpainting","slug":"advpaint-protecting-images-from-inpainting","title":"AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption","date":"2025-03-13","arxiv_id":"2503.10081","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":1,"n_instrument":2,"unverified":1,"pointer_only":0,"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) · 1 unverified","official":{"repos":["joonsungjeon/advpaint"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/got-unleashing-reasoning-capability-of","slug":"got-unleashing-reasoning-capability-of","title":"GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing","date":"2025-03-13","arxiv_id":"2503.10639","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["rongyaofang/got"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/unicombine-unified-multi-conditional","slug":"unicombine-unified-multi-conditional","title":"UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer","date":"2025-03-12","arxiv_id":"2503.09277","n_code_links":0,"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":null}},{"paper":"/paper/alias-free-latent-diffusion-models-improving","slug":"alias-free-latent-diffusion-models-improving","title":"Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space","date":"2025-03-12","arxiv_id":"2503.09419","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":4,"phrase":"3 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["singlezombie/afldm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/block-diffusion-interpolating-between","slug":"block-diffusion-interpolating-between","title":"Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models","date":"2025-03-12","arxiv_id":"2503.09573","n_code_links":2,"syntology":{"ran":14,"of":15,"n_ran_checked":11,"n_instrument":3,"unverified":1,"pointer_only":8,"phrase":"14 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["kuleshov-group/bd3lms"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/rewardsds-aligning-score-distillation-via","slug":"rewardsds-aligning-score-distillation-via","title":"RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling","date":"2025-03-12","arxiv_id":"2503.09601","n_code_links":1,"syntology":{"ran":5,"of":9,"n_ran_checked":5,"n_instrument":0,"unverified":4,"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) · 4 unverified","official":{"repos":["itaychachy/RewardSDS"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/aligning-text-to-image-in-diffusion-models-is","slug":"aligning-text-to-image-in-diffusion-models-is","title":"Aligning Text to Image in Diffusion Models is Easier Than You Think","date":"2025-03-11","arxiv_id":"2503.08250","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["softrepa/SoftREPA"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/using-powerful-prior-knowledge-of-diffusion","slug":"using-powerful-prior-knowledge-of-diffusion","title":"Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing","date":"2025-03-11","arxiv_id":"2503.08429","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":1,"n_instrument":1,"unverified":2,"pointer_only":2,"phrase":"2 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; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["fengodchen/dmp-dun-cvpr2025"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/principal-components-enable-a-new-language-of","slug":"principal-components-enable-a-new-language-of","title":"\"Principal Components\" Enable A New Language of Images","date":"2025-03-11","arxiv_id":"2503.08685","n_code_links":1,"syntology":{"ran":14,"of":17,"n_ran_checked":12,"n_instrument":2,"unverified":3,"pointer_only":2,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 3 honoured, 0 violated, 9 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["visual-gen/semanticist"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/representing-3d-shapes-with-64-latent-vectors","slug":"representing-3d-shapes-with-64-latent-vectors","title":"Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models","date":"2025-03-11","arxiv_id":"2503.08737","n_code_links":0,"syntology":{"ran":4,"of":9,"n_ran_checked":4,"n_instrument":0,"unverified":5,"pointer_only":9,"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) · 5 unverified","official":null}},{"paper":"/paper/from-reusing-to-forecasting-accelerating","slug":"from-reusing-to-forecasting-accelerating","title":"From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers","date":"2025-03-10","arxiv_id":"2503.06923","n_code_links":2,"syntology":{"ran":2,"of":4,"n_ran_checked":1,"n_instrument":1,"unverified":2,"pointer_only":4,"phrase":"2 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; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["Shenyi-Z/TaylorSeer"],"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/speed-scalable-precise-and-efficient-concept","slug":"speed-scalable-precise-and-efficient-concept","title":"SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models","date":"2025-03-10","arxiv_id":"2503.07392","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":1,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["ouxiang-li/speed"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/ar-diffusion-asynchronous-video-generation","slug":"ar-diffusion-asynchronous-video-generation","title":"AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion","date":"2025-03-10","arxiv_id":"2503.07418","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":2,"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) · 1 unverified","official":null}},{"paper":"/paper/pointvla-injecting-the-3d-world-into-vision","slug":"pointvla-injecting-the-3d-world-into-vision","title":"PointVLA: Injecting the 3D World into Vision-Language-Action Models","date":"2025-03-10","arxiv_id":"2503.07511","n_code_links":1,"syntology":{"ran":13,"of":15,"n_ran_checked":13,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"13 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; 0 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":"/paper/inductive-moment-matching","slug":"inductive-moment-matching","title":"Inductive Moment Matching","date":"2025-03-10","arxiv_id":"2503.07565","n_code_links":2,"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, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/seedream-2-0-a-native-chinese-english","slug":"seedream-2-0-a-native-chinese-english","title":"Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model","date":"2025-03-10","arxiv_id":"2503.07703","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":8,"n_instrument":3,"unverified":2,"pointer_only":2,"phrase":"11 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; 3 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":"/paper/can-generative-geospatial-diffusion-models","slug":"can-generative-geospatial-diffusion-models","title":"Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?","date":"2025-03-10","arxiv_id":"2503.07890","n_code_links":0,"syntology":{"ran":3,"of":6,"n_ran_checked":3,"n_instrument":0,"unverified":3,"pointer_only":1,"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) · 3 unverified","official":null}},{"paper":"/paper/learning-few-step-diffusion-models-by","slug":"learning-few-step-diffusion-models-by","title":"Learning Few-Step Diffusion Models by Trajectory Distribution Matching","date":"2025-03-09","arxiv_id":"2503.06674","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":2,"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) · 1 unverified","official":{"repos":["Luo-Yihong/TDM"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["unlocated"]}}},{"paper":"/paper/usp-unified-self-supervised-pretraining-for","slug":"usp-unified-self-supervised-pretraining-for","title":"USP: Unified Self-Supervised Pretraining for Image Generation and Understanding","date":"2025-03-08","arxiv_id":"2503.06132","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":2,"n_instrument":0,"unverified":2,"pointer_only":4,"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) · 2 unverified","official":{"repos":["cxxgtxy/usp"],"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":["found_in_text","official"]}}},{"paper":"/paper/x2i-seamless-integration-of-multimodal","slug":"x2i-seamless-integration-of-multimodal","title":"X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation","date":"2025-03-08","arxiv_id":"2503.06134","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":["oppo-mente-lab/x2i"],"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/generalized-interpolating-discrete-diffusion","slug":"generalized-interpolating-discrete-diffusion","title":"Generalized Interpolating Discrete Diffusion","date":"2025-03-06","arxiv_id":"2503.04482","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"2 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["dvruette/gidd"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/optimizing-for-the-shortest-path-in-denoising","slug":"optimizing-for-the-shortest-path-in-denoising","title":"Optimizing for the Shortest Path in Denoising Diffusion Model","date":"2025-03-05","arxiv_id":"2503.03265","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":["unicomai/shortdf"],"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/all-atom-diffusion-transformers-unified","slug":"all-atom-diffusion-transformers-unified","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","date":"2025-03-05","arxiv_id":"2503.03965","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":5,"n_instrument":1,"unverified":1,"pointer_only":7,"phrase":"6 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["facebookresearch/all-atom-diffusion-transformer"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/stickmotion-generating-3d-human-motions-by","slug":"stickmotion-generating-3d-human-motions-by","title":"StickMotion: Generating 3D Human Motions by Drawing a Stickman","date":"2025-03-05","arxiv_id":"2503.04829","n_code_links":0,"syntology":{"ran":6,"of":8,"n_ran_checked":5,"n_instrument":1,"unverified":2,"pointer_only":8,"phrase":"6 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":"/paper/h-edit-effective-and-flexible-diffusion-based","slug":"h-edit-effective-and-flexible-diffusion-based","title":"h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform","date":"2025-03-04","arxiv_id":"2503.02187","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":1,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["nktoan/h-edit"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/straight-line-diffusion-model-for-efficient","slug":"straight-line-diffusion-model-for-efficient","title":"Straight-Line Diffusion Model for Efficient 3D Molecular Generation","date":"2025-03-04","arxiv_id":"2503.02918","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["fengshikun/SLDM"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/split-gibbs-discrete-diffusion-posterior","slug":"split-gibbs-discrete-diffusion-posterior","title":"Split Gibbs Discrete Diffusion Posterior Sampling","date":"2025-03-03","arxiv_id":"2503.01161","n_code_links":0,"syntology":{"ran":2,"of":6,"n_ran_checked":1,"n_instrument":1,"unverified":4,"pointer_only":6,"phrase":"2 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; 1 where Syntology's instrument failed) · 4 unverified","official":null}},{"paper":"/paper/difiisr-a-diffusion-model-with-gradient","slug":"difiisr-a-diffusion-model-with-gradient","title":"DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution","date":"2025-03-03","arxiv_id":"2503.01187","n_code_links":1,"syntology":{"ran":1,"of":5,"n_ran_checked":0,"n_instrument":1,"unverified":4,"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) · 4 unverified","official":{"repos":["zirui0625/difiisr"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/reconciling-stochastic-and-deterministic","slug":"reconciling-stochastic-and-deterministic","title":"Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual","date":"2025-03-03","arxiv_id":"2503.01288","n_code_links":1,"syntology":{"ran":1,"of":7,"n_ran_checked":1,"n_instrument":0,"unverified":6,"pointer_only":7,"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) · 6 unverified","official":{"repos":["chongwang1024/rdmd"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":"/paper/extrapolating-and-decoupling-image-to-video","slug":"extrapolating-and-decoupling-image-to-video","title":"Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think","date":"2025-03-02","arxiv_id":"2503.00948","n_code_links":1,"syntology":{"ran":12,"of":15,"n_ran_checked":8,"n_instrument":4,"unverified":3,"pointer_only":4,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified","official":{"repos":["Chuge0335/EDG"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/dynamical-diffusion-learning-temporal","slug":"dynamical-diffusion-learning-temporal","title":"Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models","date":"2025-03-02","arxiv_id":"2503.00951","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":3,"phrase":"3 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; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["thuml/dynamical-diffusion"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/underdamped-diffusion-bridges-with","slug":"underdamped-diffusion-bridges-with","title":"Underdamped Diffusion Bridges with Applications to Sampling","date":"2025-03-02","arxiv_id":"2503.01006","n_code_links":1,"syntology":{"ran":10,"of":10,"n_ran_checked":10,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["DenisBless/UnderdampedDiffusionBridges"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/data-unlearning-in-diffusion-models","slug":"data-unlearning-in-diffusion-models","title":"Data Unlearning in Diffusion Models","date":"2025-03-02","arxiv_id":"2503.01034","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 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":["claserken/SISS"],"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/remasking-discrete-diffusion-models-with","slug":"remasking-discrete-diffusion-models-with","title":"Remasking Discrete Diffusion Models with Inference-Time Scaling","date":"2025-03-01","arxiv_id":"2503.00307","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 10 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":null}},{"paper":"/paper/periodic-materials-generation-using-text","slug":"periodic-materials-generation-using-text","title":"Periodic Materials Generation using Text-Guided Joint Diffusion Model","date":"2025-03-01","arxiv_id":"2503.00522","n_code_links":1,"syntology":{"ran":12,"of":13,"n_ran_checked":10,"n_instrument":2,"unverified":1,"pointer_only":2,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["kdmsit/TGDMat"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/implicit-search-via-discrete-diffusion-a","slug":"implicit-search-via-discrete-diffusion-a","title":"Implicit Search via Discrete Diffusion: A Study on Chess","date":"2025-02-27","arxiv_id":"2502.19805","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":1,"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) · 0 unverified","official":{"repos":["hkunlp/diffusearch"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/clip-under-the-microscope-a-fine-grained","slug":"clip-under-the-microscope-a-fine-grained","title":"CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation","date":"2025-02-27","arxiv_id":"2502.19842","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":4,"n_instrument":1,"unverified":0,"pointer_only":5,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 2 honoured, 2 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["clip-oscope/clip-oscope"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/high-fidelity-relightable-monocular-portrait","slug":"high-fidelity-relightable-monocular-portrait","title":"High-Fidelity Relightable Monocular Portrait Animation with Lighting-Controllable Video Diffusion Model","date":"2025-02-27","arxiv_id":"2502.19894","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"7 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; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["MingtaoGuo/relightable-portrait-animation"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/flexvar-flexible-visual-autoregressive","slug":"flexvar-flexible-visual-autoregressive","title":"FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction","date":"2025-02-27","arxiv_id":"2502.20313","n_code_links":1,"syntology":{"ran":9,"of":12,"n_ran_checked":4,"n_instrument":5,"unverified":3,"pointer_only":3,"phrase":"9 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; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["jiaosiyu1999/FlexVAR"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/multi-perspective-data-augmentation-for-few","slug":"multi-perspective-data-augmentation-for-few","title":"Multi-Perspective Data Augmentation for Few-shot Object Detection","date":"2025-02-25","arxiv_id":"2502.18195","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":["nvakhoa/mpad"],"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/training-consistency-models-with-variational","slug":"training-consistency-models-with-variational","title":"Training Consistency Models with Variational Noise Coupling","date":"2025-02-25","arxiv_id":"2502.18197","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":2,"n_instrument":3,"unverified":1,"pointer_only":2,"phrase":"5 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["sony/vct"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/riflex-a-free-lunch-for-length-extrapolation","slug":"riflex-a-free-lunch-for-length-extrapolation","title":"RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers","date":"2025-02-21","arxiv_id":"2502.15894","n_code_links":0,"syntology":{"ran":6,"of":7,"n_ran_checked":4,"n_instrument":2,"unverified":1,"pointer_only":4,"phrase":"6 ran (of which 1 constructed an object rather than computing a result; 4 with no instrument failure: 2 honoured, 1 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/tess-2-a-large-scale-generalist-diffusion","slug":"tess-2-a-large-scale-generalist-diffusion","title":"TESS 2: A Large-Scale Generalist Diffusion Language Model","date":"2025-02-19","arxiv_id":"2502.13917","n_code_links":1,"syntology":{"ran":3,"of":7,"n_ran_checked":3,"n_instrument":0,"unverified":4,"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) · 4 unverified","official":{"repos":["hamishivi/tess-2"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/secure-and-efficient-watermarking-for-latent","slug":"secure-and-efficient-watermarking-for-latent","title":"Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios","date":"2025-02-18","arxiv_id":"2502.13345","n_code_links":0,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 2 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) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","official":null}},{"paper":"/paper/maximum-entropy-reinforcement-learning-with-1","slug":"maximum-entropy-reinforcement-learning-with-1","title":"Maximum Entropy Reinforcement Learning with Diffusion Policy","date":"2025-02-17","arxiv_id":"2502.11612","n_code_links":1,"syntology":{"ran":10,"of":13,"n_ran_checked":8,"n_instrument":2,"unverified":3,"pointer_only":13,"phrase":"10 ran (of which 6 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["diffusionyes/maxentdp"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":6,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/maskgwm-a-generalizable-driving-world-model","slug":"maskgwm-a-generalizable-driving-world-model","title":"MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction","date":"2025-02-17","arxiv_id":"2502.11663","n_code_links":1,"syntology":{"ran":4,"of":8,"n_ran_checked":2,"n_instrument":2,"unverified":4,"pointer_only":1,"phrase":"4 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["sensetime-fvg/opendwm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/diffusion-models-without-classifier-free-1","slug":"diffusion-models-without-classifier-free-1","title":"Diffusion Models without Classifier-free Guidance","date":"2025-02-17","arxiv_id":"2502.12154","n_code_links":2,"syntology":{"ran":11,"of":12,"n_ran_checked":7,"n_instrument":4,"unverified":1,"pointer_only":5,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 2 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["tzco/Diffusion-wo-CFG"],"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/codiff-conditional-diffusion-model-for","slug":"codiff-conditional-diffusion-model-for","title":"CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection","date":"2025-02-17","arxiv_id":"2502.14891","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":3,"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) · 0 unverified","official":{"repos":["huangzhe885/codiff"],"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/compression-aware-one-step-diffusion-model","slug":"compression-aware-one-step-diffusion-model","title":"Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal","date":"2025-02-14","arxiv_id":"2502.09873","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":7,"n_instrument":2,"unverified":2,"pointer_only":4,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["jp-guo/codiff"],"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/large-language-diffusion-models","slug":"large-language-diffusion-models","title":"Large Language Diffusion Models","date":"2025-02-14","arxiv_id":"2502.09992","n_code_links":2,"syntology":{"ran":6,"of":7,"n_ran_checked":1,"n_instrument":5,"unverified":1,"pointer_only":7,"phrase":"6 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; 5 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/diffms-diffusion-generation-of-molecules","slug":"diffms-diffusion-generation-of-molecules","title":"DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra","date":"2025-02-13","arxiv_id":"2502.09571","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":["coleygroup/diffms"],"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/light-a-video-training-free-video-relighting","slug":"light-a-video-training-free-video-relighting","title":"Light-A-Video: Training-free Video Relighting via Progressive Light Fusion","date":"2025-02-12","arxiv_id":"2502.08590","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":1,"phrase":"5 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; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["bcmi/Light-A-Video"],"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"]}}},{"paper":"/paper/monte-carlo-tree-diffusion-for-system-2","slug":"monte-carlo-tree-diffusion-for-system-2","title":"Monte Carlo Tree Diffusion for System 2 Planning","date":"2025-02-11","arxiv_id":"2502.07202","n_code_links":0,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":6,"phrase":"6 ran (of which 5 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":null}},{"paper":"/paper/cat-contrastive-adversarial-training-for","slug":"cat-contrastive-adversarial-training-for","title":"CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models","date":"2025-02-11","arxiv_id":"2502.07225","n_code_links":1,"syntology":{"ran":2,"of":6,"n_ran_checked":1,"n_instrument":1,"unverified":4,"pointer_only":1,"phrase":"2 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; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["senp98/cat"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/solving-linear-gaussian-bayesian-inverse","slug":"solving-linear-gaussian-bayesian-inverse","title":"Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo","date":"2025-02-10","arxiv_id":"2502.06379","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":2,"n_instrument":3,"unverified":1,"pointer_only":3,"phrase":"5 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["filipekstrm/ddsmc"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["community","official"]}}},{"paper":"/paper/wyckoffdiff-a-generative-diffusion-model-for","slug":"wyckoffdiff-a-generative-diffusion-model-for","title":"WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry","date":"2025-02-10","arxiv_id":"2502.06485","n_code_links":1,"syntology":{"ran":17,"of":19,"n_ran_checked":16,"n_instrument":1,"unverified":2,"pointer_only":3,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 1 honoured, 0 violated, 15 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["httk/wyckoffdiff"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["community","found_in_text","official","unlocated"]}}},{"paper":"/paper/triposg-high-fidelity-3d-shape-synthesis","slug":"triposg-high-fidelity-3d-shape-synthesis","title":"TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models","date":"2025-02-10","arxiv_id":"2502.06608","n_code_links":2,"syntology":{"ran":6,"of":6,"n_ran_checked":5,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"6 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["VAST-AI-Research/TripoSG"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/unidb-a-unified-diffusion-bridge-framework","slug":"unidb-a-unified-diffusion-bridge-framework","title":"UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control","date":"2025-02-09","arxiv_id":"2502.05749","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":8,"n_instrument":0,"unverified":1,"pointer_only":4,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 2 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["unidb-soc/unidb"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/mmgdreamer-mixed-modality-graph-for-geometry-1","slug":"mmgdreamer-mixed-modality-graph-for-geometry-1","title":"MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation","date":"2025-02-09","arxiv_id":"2502.05874","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":6,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"7 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["yangzhifeio/MMGDreamer"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/flashvideo-flowing-fidelity-to-detail-for","slug":"flashvideo-flowing-fidelity-to-detail-for","title":"FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation","date":"2025-02-07","arxiv_id":"2502.05179","n_code_links":1,"syntology":{"ran":13,"of":15,"n_ran_checked":12,"n_instrument":1,"unverified":2,"pointer_only":2,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 3 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["foundationvision/flashvideo"],"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"]}}}],"record_sha256":"a84fa978c378c4f0ace25398465b1f5355c80b9ac4240b2a8d628d2010f78e58","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}