{"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/45","list_of":"/method/diffusion","method":"Diffusion","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":45,"pages_in_order":139,"rows_per_page":100,"rows":[4401,4500],"of":13848,"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","prev":"/method/diffusion/papers/44","next":"/method/diffusion/papers/46","papers":[{"paper":"/paper/counterfactual-mri-data-augmentation-using","slug":"counterfactual-mri-data-augmentation-using","title":"Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative Models","date":"2024-10-31","arxiv_id":"2410.23835","n_code_links":1,"syntology":null},{"paper":null,"slug":"denoising-diffusion-models-for-anomaly","title":"Denoising Diffusion Models for Anomaly Localization in Medical Images","date":"2024-10-31","arxiv_id":"2410.23834","n_code_links":0,"syntology":null},{"paper":"/paper/diffbatt-a-diffusion-model-for-battery","slug":"diffbatt-a-diffusion-model-for-battery","title":"DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis","date":"2024-10-31","arxiv_id":"2410.23893","n_code_links":1,"syntology":null},{"paper":"/paper/diffpad-denoising-diffusion-based-adversarial","slug":"diffpad-denoising-diffusion-based-adversarial","title":"DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination","date":"2024-10-31","arxiv_id":"2410.24006","n_code_links":1,"syntology":null},{"paper":"/paper/diffpano-scalable-and-consistent-text-to","slug":"diffpano-scalable-and-consistent-text-to","title":"DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion","date":"2024-10-31","arxiv_id":"2410.24203","n_code_links":1,"syntology":null},{"paper":"/paper/diffusion-twigs-with-loop-guidance-for","slug":"diffusion-twigs-with-loop-guidance-for","title":"Diffusion Twigs with Loop Guidance for Conditional Graph Generation","date":"2024-10-31","arxiv_id":"2410.24012","n_code_links":1,"syntology":{"ran":16,"of":21,"n_ran_checked":11,"n_instrument":5,"unverified":5,"pointer_only":1,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 1 violated, 9 with no contract checked; 5 where Syntology's instrument failed) · 5 unverified","official":{"repos":["aalto-quml/diffusion_twigs"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"dip-diffusion-learning-of-inconsistency","title":"DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection","date":"2024-10-31","arxiv_id":"2410.23663","n_code_links":0,"syntology":null},{"paper":null,"slug":"disentangling-disentangled-representations","title":"Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models","date":"2024-10-31","arxiv_id":"2410.23820","n_code_links":0,"syntology":null},{"paper":"/paper/edt-an-efficient-diffusion-transformer","slug":"edt-an-efficient-diffusion-transformer","title":"EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching","date":"2024-10-31","arxiv_id":"2410.23788","n_code_links":1,"syntology":{"ran":12,"of":15,"n_ran_checked":9,"n_instrument":3,"unverified":3,"pointer_only":2,"phrase":"12 ran (of which 7 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["xinwangchen/edt"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":7,"n_ran_no_instrument_failure":9,"n_unverified":3,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/fashion-vdm-video-diffusion-model-for-virtual-1","slug":"fashion-vdm-video-diffusion-model-for-virtual-1","title":"Fashion-VDM: Video Diffusion Model for Virtual Try-On","date":"2024-10-31","arxiv_id":"2411.00225","n_code_links":0,"syntology":null},{"paper":null,"slug":"image-synthesis-with-class-aware-semantic","title":"Image Synthesis with Class-Aware Semantic Diffusion Models for Surgical Scene Segmentation","date":"2024-10-31","arxiv_id":"2410.23962","n_code_links":0,"syntology":null},{"paper":"/paper/in-context-lora-for-diffusion-transformers","slug":"in-context-lora-for-diffusion-transformers","title":"In-Context LoRA for Diffusion Transformers","date":"2024-10-31","arxiv_id":"2410.23775","n_code_links":1,"syntology":null},{"paper":"/paper/on-learning-multi-modal-forgery","slug":"on-learning-multi-modal-forgery","title":"On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection","date":"2024-10-31","arxiv_id":"2410.23623","n_code_links":1,"syntology":{"ran":20,"of":24,"n_ran_checked":19,"n_instrument":1,"unverified":4,"pointer_only":0,"phrase":"20 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 0 honoured, 1 violated, 18 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["sparklexfantasy/mm-det"],"state":"official (archive's flag): 20 ran","n_ran":20,"n_constructed":0,"n_ran_no_instrument_failure":19,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"redefining-creative-in-dictionary-towards-a","title":"Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation","date":"2024-10-31","arxiv_id":"2410.24160","n_code_links":0,"syntology":null},{"paper":null,"slug":"scaling-concept-with-text-guided-diffusion","title":"Scaling Concept With Text-Guided Diffusion Models","date":"2024-10-31","arxiv_id":"2410.24151","n_code_links":0,"syntology":null},{"paper":null,"slug":"soar-self-occluded-avatar-recovery-from-a","title":"SOAR: Self-Occluded Avatar Recovery from a Single Video In the Wild","date":"2024-10-31","arxiv_id":"2410.23800","n_code_links":0,"syntology":null},{"paper":"/paper/text-difuse-an-interactive-multi-modal-image","slug":"text-difuse-an-interactive-multi-modal-image","title":"Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model","date":"2024-10-31","arxiv_id":"2410.23905","n_code_links":1,"syntology":{"ran":17,"of":25,"n_ran_checked":14,"n_instrument":3,"unverified":8,"pointer_only":1,"phrase":"17 ran (of which 3 constructed an object rather than computing a result; 14 with no instrument failure: 1 honoured, 0 violated, 13 with no contract checked; 3 where Syntology's instrument failed) · 8 unverified","official":{"repos":["leiii-cao/text-difuse"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":3,"n_ran_no_instrument_failure":14,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":"/paper/there-and-back-again-on-the-relation-between","slug":"there-and-back-again-on-the-relation-between","title":"There and Back Again: On the relation between noises, images, and their inversions in diffusion models","date":"2024-10-31","arxiv_id":"2410.23530","n_code_links":1,"syntology":{"ran":18,"of":19,"n_ran_checked":18,"n_instrument":0,"unverified":1,"pointer_only":19,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 0 honoured, 0 violated, 18 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["luk-st/taba"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":0,"n_ran_no_instrument_failure":18,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/tpc-test-time-procrustes-calibration-for","slug":"tpc-test-time-procrustes-calibration-for","title":"TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation","date":"2024-10-31","arxiv_id":"2410.24037","n_code_links":0,"syntology":{"ran":10,"of":14,"n_ran_checked":6,"n_instrument":4,"unverified":4,"pointer_only":6,"phrase":"10 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; 4 where Syntology's instrument failed) · 4 unverified","official":null}},{"paper":"/paper/understanding-generalizability-of-diffusion","slug":"understanding-generalizability-of-diffusion","title":"Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure","date":"2024-10-31","arxiv_id":"2410.24060","n_code_links":1,"syntology":{"ran":12,"of":20,"n_ran_checked":8,"n_instrument":4,"unverified":8,"pointer_only":20,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 3 honoured, 0 violated, 5 with no contract checked; 4 where Syntology's instrument failed) · 8 unverified","official":{"repos":["Morefre/Understanding-Generalizability-of-Diffusion-Models-Requires-Rethinking-the-Hidden-Gaussian-Structure"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"accelerated-ai-inference-via-dynamic","title":"Accelerated AI Inference via Dynamic Execution Methods","date":"2024-10-30","arxiv_id":"2411.00853","n_code_links":0,"syntology":null},{"paper":"/paper/causaldiff-causality-inspired-disentanglement","slug":"causaldiff-causality-inspired-disentanglement","title":"CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense","date":"2024-10-30","arxiv_id":"2410.23091","n_code_links":1,"syntology":{"ran":11,"of":17,"n_ran_checked":10,"n_instrument":1,"unverified":6,"pointer_only":0,"phrase":"11 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; 1 where Syntology's instrument failed) · 6 unverified","official":{"repos":["cas-aisafetybasicresearchgroup/causaldiff"],"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":["found_in_text","official"]}}},{"paper":"/paper/consistency-diffusion-bridge-models","slug":"consistency-diffusion-bridge-models","title":"Consistency Diffusion Bridge Models","date":"2024-10-30","arxiv_id":"2410.22637","n_code_links":2,"syntology":{"ran":4,"of":5,"n_ran_checked":1,"n_instrument":3,"unverified":1,"pointer_only":5,"phrase":"4 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; 3 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/controlling-language-and-diffusion-models-by","slug":"controlling-language-and-diffusion-models-by","title":"Controlling Language and Diffusion Models by Transporting Activations","date":"2024-10-30","arxiv_id":"2410.23054","n_code_links":1,"syntology":null},{"paper":null,"slug":"dexgraspnet-2-0-learning-generative-dexterous","title":"DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes","date":"2024-10-30","arxiv_id":"2410.23004","n_code_links":0,"syntology":null},{"paper":"/paper/difflight-a-partial-rewards-conditioned","slug":"difflight-a-partial-rewards-conditioned","title":"DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data","date":"2024-10-30","arxiv_id":"2410.22938","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 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":["lokol5579/DiffLight-release"],"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":null,"slug":"diffusion-beats-autoregressive-an-evaluation","title":"Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models","date":"2024-10-30","arxiv_id":"2410.22775","n_code_links":0,"syntology":null},{"paper":null,"slug":"flowdcn-exploring-dcn-like-architectures-for","title":"FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution","date":"2024-10-30","arxiv_id":"2410.22655","n_code_links":0,"syntology":null},{"paper":"/paper/fuseanypart-diffusion-driven-facial-parts","slug":"fuseanypart-diffusion-driven-facial-parts","title":"FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images","date":"2024-10-30","arxiv_id":"2410.22771","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":["thomas-wyh/fuseanypart"],"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/graph-integration-for-diffusion-based","slug":"graph-integration-for-diffusion-based","title":"Graph Integration for Diffusion-Based Manifold Alignment","date":"2024-10-30","arxiv_id":"2410.22978","n_code_links":1,"syntology":null},{"paper":"/paper/identifying-drift-diffusion-and-causal","slug":"identifying-drift-diffusion-and-causal","title":"Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots","date":"2024-10-30","arxiv_id":"2410.22729","n_code_links":1,"syntology":null},{"paper":"/paper/latent-diffusion-implicit-amplification","slug":"latent-diffusion-implicit-amplification","title":"Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images","date":"2024-10-30","arxiv_id":"2410.22830","n_code_links":1,"syntology":null},{"paper":null,"slug":"lumisculpt-a-consistency-lighting-control","title":"LumiSculpt: A Consistency Lighting Control Network for Video Generation","date":"2024-10-30","arxiv_id":"2410.22979","n_code_links":0,"syntology":null},{"paper":null,"slug":"mole-enhancing-human-centric-text-to-image","title":"MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts","date":"2024-10-30","arxiv_id":"2410.23332","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-student-diffusion-distillation-for","title":"Multi-student Diffusion Distillation for Better One-step Generators","date":"2024-10-30","arxiv_id":"2410.23274","n_code_links":0,"syntology":null},{"paper":"/paper/private-synthetic-text-generation-with","slug":"private-synthetic-text-generation-with","title":"Private Synthetic Text Generation with Diffusion Models","date":"2024-10-30","arxiv_id":"2410.22971","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":["trusthlt/private-synthetic-text-generation"],"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":null,"slug":"provable-acceleration-for-diffusion-models","title":"Provable Acceleration for Diffusion Models under Minimal Assumptions","date":"2024-10-30","arxiv_id":"2410.23285","n_code_links":0,"syntology":null},{"paper":null,"slug":"refereverything-towards-segmenting-everything","title":"ReferEverything: Towards Segmenting Everything We Can Speak of in Videos","date":"2024-10-30","arxiv_id":"2410.23287","n_code_links":0,"syntology":null},{"paper":null,"slug":"relationbooth-towards-relation-aware","title":"RelationBooth: Towards Relation-Aware Customized Object Generation","date":"2024-10-30","arxiv_id":"2410.23280","n_code_links":0,"syntology":null},{"paper":null,"slug":"slowfast-vgen-slow-fast-learning-for-action","title":"SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation","date":"2024-10-30","arxiv_id":"2410.23277","n_code_links":0,"syntology":null},{"paper":null,"slug":"st-dtpm-spatial-temporal-guided-diffusion","title":"st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction","date":"2024-10-30","arxiv_id":"2410.22732","n_code_links":0,"syntology":null},{"paper":"/paper/adapting-diffusion-models-for-improved-prompt","slug":"adapting-diffusion-models-for-improved-prompt","title":"Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis","date":"2024-10-29","arxiv_id":"2410.21638","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":6,"n_instrument":1,"unverified":3,"pointer_only":10,"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) · 3 unverified","official":{"repos":["DeepakSridhar/fgdm"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"applications-of-the-second-order-esscher","title":"Applications of the Second-Order Esscher Pricing in Risk Management","date":"2024-10-29","arxiv_id":"2410.21649","n_code_links":0,"syntology":null},{"paper":"/paper/brain-age-identification-from-diffusion-mri","slug":"brain-age-identification-from-diffusion-mri","title":"Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease","date":"2024-10-29","arxiv_id":"2410.22454","n_code_links":1,"syntology":null},{"paper":"/paper/capacity-control-is-an-effective-memorization","slug":"capacity-control-is-an-effective-memorization","title":"Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models","date":"2024-10-29","arxiv_id":"2410.22149","n_code_links":1,"syntology":{"ran":9,"of":10,"n_ran_checked":8,"n_instrument":1,"unverified":1,"pointer_only":10,"phrase":"9 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["raman1121/diffusion_memorization_hpo"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/ct-to-pet-translation-a-large-scale-dataset","slug":"ct-to-pet-translation-a-large-scale-dataset","title":"CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach","date":"2024-10-29","arxiv_id":"2410.21932","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffstr-controlled-diffusion-models-for-scene","title":"DiffSTR: Controlled Diffusion Models for Scene Text Removal","date":"2024-10-29","arxiv_id":"2410.21721","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffusion-as-reasoning-enhancing-object-goal","title":"Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model","date":"2024-10-29","arxiv_id":"2410.21842","n_code_links":0,"syntology":null},{"paper":null,"slug":"discrete-modeling-via-boundary-conditional","title":"Discrete Modeling via Boundary Conditional Diffusion Processes","date":"2024-10-29","arxiv_id":"2410.22380","n_code_links":0,"syntology":null},{"paper":null,"slug":"dual-conditional-diffusion-models-for","title":"Dual Conditional Diffusion Models for Sequential Recommendation","date":"2024-10-29","arxiv_id":"2410.21967","n_code_links":0,"syntology":null},{"paper":null,"slug":"embedding-watermarks-in-diffusion-process-for","title":"Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection","date":"2024-10-29","arxiv_id":"2410.22445","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-local-memorization-in-diffusion","title":"Exploring Local Memorization in Diffusion Models via Bright Ending Attention","date":"2024-10-29","arxiv_id":"2410.21665","n_code_links":0,"syntology":null},{"paper":null,"slug":"fairskin-fair-diffusion-for-skin-disease","title":"FairSkin: Fair Diffusion for Skin Disease Image Generation","date":"2024-10-29","arxiv_id":"2410.22551","n_code_links":0,"syntology":null},{"paper":"/paper/faster-local-solvers-for-graph-diffusion","slug":"faster-local-solvers-for-graph-diffusion","title":"Faster Local Solvers for Graph Diffusion Equations","date":"2024-10-29","arxiv_id":"2410.21634","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":1,"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":["JiaheBai/Faster-Local-Solver-for-GDEs"],"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":["found_in_text","official"]}}},{"paper":null,"slug":"generative-ai-enabled-matching-for-6g","title":"Generative AI Enabled Matching for 6G Multiple Access","date":"2024-10-29","arxiv_id":"2411.04137","n_code_links":0,"syntology":null},{"paper":null,"slug":"guided-diffusion-based-counterfactual","title":"Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation","date":"2024-10-29","arxiv_id":"2410.21892","n_code_links":0,"syntology":null},{"paper":null,"slug":"hairdiffusion-vivid-multi-colored-hair","title":"HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion","date":"2024-10-29","arxiv_id":"2410.21789","n_code_links":0,"syntology":null},{"paper":null,"slug":"ideator-jailbreaking-large-vision-language","title":"IDEATOR: Jailbreaking Large Vision-Language Models Using Themselves","date":"2024-10-29","arxiv_id":"2411.00827","n_code_links":0,"syntology":null},{"paper":null,"slug":"improved-patch-denoising-diffusion","title":"Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting","date":"2024-10-29","arxiv_id":"2410.23318","n_code_links":0,"syntology":null},{"paper":"/paper/intlora-integral-low-rank-adaptation-of","slug":"intlora-integral-low-rank-adaptation-of","title":"IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models","date":"2024-10-29","arxiv_id":"2410.21759","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":1,"n_instrument":6,"unverified":2,"pointer_only":9,"phrase":"7 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; 6 where Syntology's instrument failed) · 2 unverified","official":{"repos":["csguoh/intlora"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"investigating-memorization-in-video-diffusion","title":"Investigating Memorization in Video Diffusion Models","date":"2024-10-29","arxiv_id":"2410.21669","n_code_links":0,"syntology":null},{"paper":null,"slug":"ofer-occluded-face-expression-reconstruction","title":"OFER: Occluded Face Expression Reconstruction","date":"2024-10-29","arxiv_id":"2410.21629","n_code_links":0,"syntology":null},{"paper":"/paper/orb-a-fast-scalable-neural-network-potential","slug":"orb-a-fast-scalable-neural-network-potential","title":"Orb: A Fast, Scalable Neural Network Potential","date":"2024-10-29","arxiv_id":"2410.22570","n_code_links":1,"syntology":null},{"paper":null,"slug":"paca-perspective-aware-cross-attention","title":"PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot Scene Rearrangement","date":"2024-10-29","arxiv_id":"2410.22059","n_code_links":0,"syntology":null},{"paper":null,"slug":"pace-physics-informed-uncertainty-aware","title":"PACER: Physics Informed Uncertainty Aware Climate Emulator","date":"2024-10-29","arxiv_id":"2410.21657","n_code_links":0,"syntology":null},{"paper":null,"slug":"prefpaint-aligning-image-inpainting-diffusion","title":"PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference","date":"2024-10-29","arxiv_id":"2410.21966","n_code_links":0,"syntology":null},{"paper":"/paper/rare-to-frequent-unlocking-compositional","slug":"rare-to-frequent-unlocking-compositional","title":"Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance","date":"2024-10-29","arxiv_id":"2410.22376","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":2,"n_instrument":3,"unverified":0,"pointer_only":5,"phrase":"5 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; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["krafton-ai/rare-to-frequent"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"rdsinger-reference-based-diffusion-network","title":"RDSinger: Reference-based Diffusion Network for Singing Voice Synthesis","date":"2024-10-29","arxiv_id":"2410.21641","n_code_links":0,"syntology":null},{"paper":null,"slug":"temporal-and-spatial-super-resolution-with","title":"Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images","date":"2024-10-29","arxiv_id":"2410.23898","n_code_links":0,"syntology":null},{"paper":"/paper/tractshapenet-efficient-multi-shape-learning","slug":"tractshapenet-efficient-multi-shape-learning","title":"TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds","date":"2024-10-29","arxiv_id":"2410.22099","n_code_links":1,"syntology":null},{"paper":null,"slug":"unlocking-point-processes-through-point-set","title":"Unlocking Point Processes through Point Set Diffusion","date":"2024-10-29","arxiv_id":"2410.22493","n_code_links":0,"syntology":null},{"paper":null,"slug":"unpicking-data-at-the-seams-vaes","title":"Unpicking Data at the Seams: VAEs, Disentanglement and Independent Components","date":"2024-10-29","arxiv_id":"2410.22559","n_code_links":0,"syntology":null},{"paper":"/paper/unsupervised-modality-adaptation-with-text-to","slug":"unsupervised-modality-adaptation-with-text-to","title":"Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation","date":"2024-10-29","arxiv_id":"2410.21708","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":6,"n_instrument":1,"unverified":2,"pointer_only":9,"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) · 2 unverified","official":{"repos":["xiarho/madm"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"variational-inference-for-pile-up-removal-at","title":"Variational inference for pile-up removal at hadron colliders with diffusion models","date":"2024-10-29","arxiv_id":"2410.22074","n_code_links":0,"syntology":null},{"paper":"/paper/volumetric-conditioning-module-to-control","slug":"volumetric-conditioning-module-to-control","title":"Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images","date":"2024-10-29","arxiv_id":"2410.21826","n_code_links":1,"syntology":{"ran":3,"of":8,"n_ran_checked":3,"n_instrument":0,"unverified":5,"pointer_only":8,"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) · 5 unverified","official":{"repos":["Ahn-Ssu/VCM"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/absorb-escape-overcoming-single-model","slug":"absorb-escape-overcoming-single-model","title":"Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences","date":"2024-10-28","arxiv_id":"2410.21345","n_code_links":2,"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":["Zehui127/Absorb-Escape"],"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":null,"slug":"accelerated-robust-lower-field-neonatal-mri","title":"A Generative Diffusion Model to Solve Inverse Problems for Robust in-NICU Neonatal MRI","date":"2024-10-28","arxiv_id":"2410.21602","n_code_links":0,"syntology":null},{"paper":"/paper/advi2i-adversarial-image-attack-on-image-to","slug":"advi2i-adversarial-image-attack-on-image-to","title":"AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models","date":"2024-10-28","arxiv_id":"2410.21471","n_code_links":1,"syntology":null},{"paper":null,"slug":"attention-overlap-is-responsible-for-the","title":"Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!","date":"2024-10-28","arxiv_id":"2410.20972","n_code_links":0,"syntology":null},{"paper":"/paper/beyond-autoregression-fast-llms-via-self","slug":"beyond-autoregression-fast-llms-via-self","title":"Beyond Autoregression: Fast LLMs via Self-Distillation Through Time","date":"2024-10-28","arxiv_id":"2410.21035","n_code_links":1,"syntology":{"ran":10,"of":10,"n_ran_checked":8,"n_instrument":2,"unverified":0,"pointer_only":10,"phrase":"10 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; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["jdeschena/sdtt"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"calochallenge-2022-a-community-challenge-for","title":"CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation","date":"2024-10-28","arxiv_id":"2410.21611","n_code_links":0,"syntology":null},{"paper":null,"slug":"daily-liquidity-jump-and-diffusion-and","title":"Liquidity Jump, Liquidity Diffusion, and Crypto Wash Trading","date":"2024-10-28","arxiv_id":"2411.05803","n_code_links":0,"syntology":null},{"paper":"/paper/diff-instruct-towards-human-preferred-one","slug":"diff-instruct-towards-human-preferred-one","title":"David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training","date":"2024-10-28","arxiv_id":"2410.20898","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffusion-nested-auto-regressive-synthesis-of","title":"Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data","date":"2024-10-28","arxiv_id":"2410.21523","n_code_links":0,"syntology":null},{"paper":null,"slug":"eeg-driven-3d-object-reconstruction-with","title":"EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Prior","date":"2024-10-28","arxiv_id":"2410.20981","n_code_links":0,"syntology":null},{"paper":"/paper/energy-based-diffusion-language-models-for","slug":"energy-based-diffusion-language-models-for","title":"Energy-Based Diffusion Language Models for Text Generation","date":"2024-10-28","arxiv_id":"2410.21357","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-ctr-prediction-in-recommendation","title":"Enhancing CTR Prediction in Recommendation Domain with Search Query Representation","date":"2024-10-28","arxiv_id":"2410.21487","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-the-design-space-of-diffusion-1","title":"Exploring the Design Space of Diffusion Bridge Models via Stochasticity Control","date":"2024-10-28","arxiv_id":"2410.21553","n_code_links":0,"syntology":null},{"paper":null,"slug":"federated-time-series-generation-on-feature","title":"Federated Time Series Generation on Feature and Temporally Misaligned Data","date":"2024-10-28","arxiv_id":"2410.21072","n_code_links":0,"syntology":null},{"paper":"/paper/generative-simulations-of-the-solar-corona","slug":"generative-simulations-of-the-solar-corona","title":"Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of Concept","date":"2024-10-28","arxiv_id":"2410.20843","n_code_links":1,"syntology":null},{"paper":null,"slug":"graph-based-traffic-analysis-and-delay","title":"Graph Based Traffic Analysis and Delay Prediction","date":"2024-10-28","arxiv_id":"2410.21028","n_code_links":0,"syntology":null},{"paper":"/paper/kandinsky-3-text-to-image-synthesis-for","slug":"kandinsky-3-text-to-image-synthesis-for","title":"Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework","date":"2024-10-28","arxiv_id":"2410.21061","n_code_links":1,"syntology":null},{"paper":"/paper/murine-ai-excels-at-cats-and-cheese","slug":"murine-ai-excels-at-cats-and-cheese","title":"Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs","date":"2024-10-28","arxiv_id":"2410.20735","n_code_links":1,"syntology":null},{"paper":null,"slug":"novel-object-synthesis-via-adaptive-text","title":"Novel Object Synthesis via Adaptive Text-Image Harmony","date":"2024-10-28","arxiv_id":"2410.20823","n_code_links":0,"syntology":null},{"paper":"/paper/on-inductive-biases-that-enable","slug":"on-inductive-biases-that-enable","title":"On Inductive Biases That Enable Generalization of Diffusion Transformers","date":"2024-10-28","arxiv_id":"2410.21273","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-learning-higher-order-cumulants-in","title":"On learning higher-order cumulants in diffusion models","date":"2024-10-28","arxiv_id":"2410.21212","n_code_links":0,"syntology":null},{"paper":null,"slug":"one-step-diffusion-policy-fast-visuomotor","title":"One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation","date":"2024-10-28","arxiv_id":"2410.21257","n_code_links":0,"syntology":null},{"paper":"/paper/reprogramming-pretrained-target-specific","slug":"reprogramming-pretrained-target-specific","title":"Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design","date":"2024-10-28","arxiv_id":"2410.20688","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":6,"n_instrument":1,"unverified":1,"pointer_only":5,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 3 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["zhouxiangxin1998/DualDiff"],"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":null,"slug":"scaling-based-data-augmentation-for","title":"Scaling-based Data Augmentation for Generative Models and its Theoretical Extension","date":"2024-10-28","arxiv_id":"2410.20780","n_code_links":0,"syntology":null},{"paper":"/paper/shallow-diffuse-robust-and-invisible","slug":"shallow-diffuse-robust-and-invisible","title":"Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models","date":"2024-10-28","arxiv_id":"2410.21088","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":["liwd190019/shallow-diffuse"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}}],"record_sha256":"a07735e9b2b0d923d0628464122276247e06b1f41d4ffa2b06b55deef8bbf370","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}