{"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/83","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":83,"pages_in_order":139,"rows_per_page":100,"rows":[8201,8300],"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/82","next":"/method/diffusion/papers/84","papers":[{"paper":"/paper/diffusion-models-trained-with-large-data-are","slug":"diffusion-models-trained-with-large-data-are","title":"What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?","date":"2024-03-10","arxiv_id":"2403.06090","n_code_links":1,"syntology":{"ran":8,"of":8,"n_ran_checked":7,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"8 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["aim-uofa/genpercept"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"fastvideoedit-leveraging-consistency-models","title":"FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing","date":"2024-03-10","arxiv_id":"2403.06269","n_code_links":0,"syntology":null},{"paper":null,"slug":"fine-tuning-of-diffusion-models-via","title":"Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond","date":"2024-03-10","arxiv_id":"2403.06279","n_code_links":0,"syntology":null},{"paper":"/paper/harmonious-group-choreography-with-trajectory","slug":"harmonious-group-choreography-with-trajectory","title":"Harmonious Group Choreography with Trajectory-Controllable Diffusion","date":"2024-03-10","arxiv_id":"2403.06189","n_code_links":0,"syntology":null},{"paper":"/paper/implicit-image-to-image-schrodinger-bridge","slug":"implicit-image-to-image-schrodinger-bridge","title":"Implicit Image-to-Image Schrodinger Bridge for Image Restoration","date":"2024-03-10","arxiv_id":"2403.06069","n_code_links":1,"syntology":{"ran":11,"of":15,"n_ran_checked":9,"n_instrument":2,"unverified":4,"pointer_only":15,"phrase":"11 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; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["wangya22/I3SB"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/mace-mass-concept-erasure-in-diffusion-models","slug":"mace-mass-concept-erasure-in-diffusion-models","title":"MACE: Mass Concept Erasure in Diffusion Models","date":"2024-03-10","arxiv_id":"2403.06135","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"0 ran · 1 unverified","official":{"repos":["shilin-lu/mace"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/platypose-calibrated-zero-shot-multi","slug":"platypose-calibrated-zero-shot-multi","title":"Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation","date":"2024-03-10","arxiv_id":"2403.06164","n_code_links":1,"syntology":null},{"paper":null,"slug":"transferable-reinforcement-learning-via","title":"Distributional Successor Features Enable Zero-Shot Policy Optimization","date":"2024-03-10","arxiv_id":"2403.06328","n_code_links":0,"syntology":null},{"paper":"/paper/vidprom-a-million-scale-real-prompt-gallery","slug":"vidprom-a-million-scale-real-prompt-gallery","title":"VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models","date":"2024-03-10","arxiv_id":"2403.06098","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":3,"n_instrument":5,"unverified":1,"pointer_only":9,"phrase":"8 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; 5 where Syntology's instrument failed) · 1 unverified","official":{"repos":["wangwenhao0716/vidprom"],"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":["found_in_text"]}}},{"paper":null,"slug":"worldgpt-a-sora-inspired-video-ai-agent-as","title":"WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs","date":"2024-03-10","arxiv_id":"2403.07944","n_code_links":0,"syntology":null},{"paper":null,"slug":"adaptive-multi-modal-fusion-of-spatially","title":"Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution","date":"2024-03-09","arxiv_id":"2403.05808","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-audio-textual-diffusion-model-for","title":"An Audio-textual Diffusion Model For Converting Speech Signals Into Ultrasound Tongue Imaging Data","date":"2024-03-09","arxiv_id":"2403.05820","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-in-silico-approach-to-meniscus-tissue","title":"An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis","date":"2024-03-09","arxiv_id":"2403.05909","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffusion-lens-interpreting-text-encoders-in","title":"Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines","date":"2024-03-09","arxiv_id":"2403.05846","n_code_links":0,"syntology":null},{"paper":null,"slug":"large-generative-model-assisted-3d-semantic","title":"Large Generative Model Assisted 3D Semantic Communication","date":"2024-03-09","arxiv_id":"2403.05783","n_code_links":0,"syntology":null},{"paper":"/paper/mg-tsd-multi-granularity-time-series","slug":"mg-tsd-multi-granularity-time-series","title":"MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process","date":"2024-03-09","arxiv_id":"2403.05751","n_code_links":1,"syntology":{"ran":5,"of":10,"n_ran_checked":3,"n_instrument":2,"unverified":5,"pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified","official":{"repos":["hundredl/mg-tsd"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/multi-conditioned-graph-diffusion-for-neural","slug":"multi-conditioned-graph-diffusion-for-neural","title":"Multi-conditioned Graph Diffusion for Neural Architecture Search","date":"2024-03-09","arxiv_id":"2403.06020","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":3,"n_instrument":2,"unverified":2,"pointer_only":0,"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) · 2 unverified","official":{"repos":["rohanasthana/dinas"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/privacy-preserving-diffusion-model-using","slug":"privacy-preserving-diffusion-model-using","title":"Privacy-Preserving Diffusion Model Using Homomorphic Encryption","date":"2024-03-09","arxiv_id":"2403.05794","n_code_links":1,"syntology":null},{"paper":"/paper/realnet-a-feature-selection-network-with","slug":"realnet-a-feature-selection-network-with","title":"RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection","date":"2024-03-09","arxiv_id":"2403.05897","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":["cnulab/realnet"],"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/safdnet-a-simple-and-effective-network-for","slug":"safdnet-a-simple-and-effective-network-for","title":"SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection","date":"2024-03-09","arxiv_id":"2403.05817","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":7,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["zhanggang001/hednet"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"semres-ddpm-residual-network-based-diffusion","title":"SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data","date":"2024-03-09","arxiv_id":"2403.05918","n_code_links":0,"syntology":null},{"paper":"/paper/audio-synchronized-visual-animation","slug":"audio-synchronized-visual-animation","title":"Audio-Synchronized Visual Animation","date":"2024-03-08","arxiv_id":"2403.05659","n_code_links":1,"syntology":{"ran":9,"of":13,"n_ran_checked":8,"n_instrument":1,"unverified":4,"pointer_only":13,"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) · 4 unverified","official":{"repos":["lzhangbj/ASVA"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/bjtt-a-large-scale-multimodal-dataset-for","slug":"bjtt-a-large-scale-multimodal-dataset-for","title":"BjTT: A Large-scale Multimodal Dataset for Traffic Prediction","date":"2024-03-08","arxiv_id":"2403.05029","n_code_links":2,"syntology":null},{"paper":"/paper/cogview3-finer-and-faster-text-to-image","slug":"cogview3-finer-and-faster-text-to-image","title":"CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion","date":"2024-03-08","arxiv_id":"2403.05121","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 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":null}},{"paper":null,"slug":"denoising-autoregressive-representation","title":"Denoising Autoregressive Representation Learning","date":"2024-03-08","arxiv_id":"2403.05196","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffclass-diffusion-based-class-incremental","title":"DiffClass: Diffusion-Based Class Incremental Learning","date":"2024-03-08","arxiv_id":"2403.05016","n_code_links":0,"syntology":null},{"paper":"/paper/diffsf-diffusion-models-for-scene-flow","slug":"diffsf-diffusion-models-for-scene-flow","title":"DiffSF: Diffusion Models for Scene Flow Estimation","date":"2024-03-08","arxiv_id":"2403.05327","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":7,"n_instrument":3,"unverified":1,"pointer_only":11,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["zhangyushan3/diffsf"],"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":["official"]}}},{"paper":null,"slug":"diffult-how-to-make-diffusion-model-useful","title":"DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition","date":"2024-03-08","arxiv_id":"2403.05170","n_code_links":0,"syntology":null},{"paper":"/paper/ella-equip-diffusion-models-with-llm-for","slug":"ella-equip-diffusion-models-with-llm-for","title":"ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment","date":"2024-03-08","arxiv_id":"2403.05135","n_code_links":2,"syntology":{"ran":5,"of":5,"n_ran_checked":2,"n_instrument":3,"unverified":0,"pointer_only":0,"phrase":"5 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; 3 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/face2diffusion-for-fast-and-editable-face","slug":"face2diffusion-for-fast-and-editable-face","title":"Face2Diffusion for Fast and Editable Face Personalization","date":"2024-03-08","arxiv_id":"2403.05094","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, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mapooon/face2diffusion"],"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":null,"slug":"gsedit-efficient-text-guided-editing-of-3d","title":"GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting","date":"2024-03-08","arxiv_id":"2403.05154","n_code_links":0,"syntology":null},{"paper":"/paper/improving-diffusion-based-generative-models","slug":"improving-diffusion-based-generative-models","title":"Improving Diffusion-Based Generative Models via Approximated Optimal Transport","date":"2024-03-08","arxiv_id":"2403.05069","n_code_links":1,"syntology":null},{"paper":"/paper/improving-diffusion-models-for-virtual-try-on","slug":"improving-diffusion-models-for-virtual-try-on","title":"Improving Diffusion Models for Authentic Virtual Try-on in the Wild","date":"2024-03-08","arxiv_id":"2403.05139","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":3,"n_instrument":1,"unverified":2,"pointer_only":6,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["yisol/IDM-VTON"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"instructgie-towards-generalizable-image","title":"InstructGIE: Towards Generalizable Image Editing","date":"2024-03-08","arxiv_id":"2403.05018","n_code_links":0,"syntology":null},{"paper":"/paper/noise-level-adaptive-diffusion-model-for","slug":"noise-level-adaptive-diffusion-model-for","title":"Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI","date":"2024-03-08","arxiv_id":"2403.05245","n_code_links":1,"syntology":null},{"paper":null,"slug":"non-robustness-of-diffusion-estimates-on","title":"Non-robustness of diffusion estimates on networks with measurement error","date":"2024-03-08","arxiv_id":"2403.05704","n_code_links":0,"syntology":null},{"paper":"/paper/rfwave-multi-band-rectified-flow-for-audio","slug":"rfwave-multi-band-rectified-flow-for-audio","title":"RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction","date":"2024-03-08","arxiv_id":"2403.05010","n_code_links":1,"syntology":{"ran":1,"of":4,"n_ran_checked":0,"n_instrument":1,"unverified":3,"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) · 3 unverified","official":{"repos":["bfs18/rfwave"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"sf-mmcn-a-low-power-re-configurable-server","title":"SF-MMCN: Low-Power Sever Flow Multi-Mode Diffusion Model Accelerator","date":"2024-03-08","arxiv_id":"2403.10542","n_code_links":0,"syntology":null},{"paper":"/paper/spectrum-translation-for-refinement-of-image","slug":"spectrum-translation-for-refinement-of-image","title":"Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile","date":"2024-03-08","arxiv_id":"2403.05093","n_code_links":1,"syntology":{"ran":18,"of":20,"n_ran_checked":11,"n_instrument":7,"unverified":2,"pointer_only":20,"phrase":"18 ran (of which 8 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 1 violated, 9 with no contract checked; 7 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ykykyk112/STIG"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":8,"n_ran_no_instrument_failure":11,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/stealing-stable-diffusion-prior-for-robust","slug":"stealing-stable-diffusion-prior-for-robust","title":"Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation","date":"2024-03-08","arxiv_id":"2403.05056","n_code_links":1,"syntology":null},{"paper":"/paper/stereodiffusion-training-free-stereo-image","slug":"stereodiffusion-training-free-stereo-image","title":"StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models","date":"2024-03-08","arxiv_id":"2403.04965","n_code_links":1,"syntology":null},{"paper":null,"slug":"text-to-audio-generation-synchronized-with","title":"Text-to-Audio Generation Synchronized with Videos","date":"2024-03-08","arxiv_id":"2403.07938","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-effective-usage-of-human-centric","title":"Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation","date":"2024-03-08","arxiv_id":"2403.05239","n_code_links":0,"syntology":null},{"paper":"/paper/videoelevator-elevating-video-generation","slug":"videoelevator-elevating-video-generation","title":"VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models","date":"2024-03-08","arxiv_id":"2403.05438","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ybybzhang/videoelevator"],"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/xpsr-cross-modal-priors-for-diffusion-based","slug":"xpsr-cross-modal-priors-for-diffusion-based","title":"XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution","date":"2024-03-08","arxiv_id":"2403.05049","n_code_links":1,"syntology":{"ran":18,"of":20,"n_ran_checked":17,"n_instrument":1,"unverified":2,"pointer_only":20,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 1 honoured, 1 violated, 15 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["qyp2000/xpsr"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":0,"n_ran_no_instrument_failure":17,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-domain-translation-framework-with-an","title":"A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images","date":"2024-03-07","arxiv_id":"2403.04612","n_code_links":0,"syntology":null},{"paper":"/paper/afreeca-annotation-free-counting-for-all","slug":"afreeca-annotation-free-counting-for-all","title":"AFreeCA: Annotation-Free Counting for All","date":"2024-03-07","arxiv_id":"2403.04943","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"pointer_only":8,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["adrian-dalessandro/afreeca"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/an-item-is-worth-a-prompt-versatile-image","slug":"an-item-is-worth-a-prompt-versatile-image","title":"An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control","date":"2024-03-07","arxiv_id":"2403.04880","n_code_links":2,"syntology":null},{"paper":null,"slug":"anatomy-guided-surface-diffusion-model-for","title":"Anatomy-Guided Surface Diffusion Model for Alzheimer's Disease Normative Modeling","date":"2024-03-07","arxiv_id":"2403.04531","n_code_links":0,"syntology":null},{"paper":"/paper/controllable-generation-with-text-to-image","slug":"controllable-generation-with-text-to-image","title":"Controllable Generation with Text-to-Image Diffusion Models: A Survey","date":"2024-03-07","arxiv_id":"2403.04279","n_code_links":1,"syntology":null},{"paper":null,"slug":"convergence-of-some-convex-message-passing","title":"Convergence of Some Convex Message Passing Algorithms to a Fixed Point","date":"2024-03-07","arxiv_id":"2403.07004","n_code_links":0,"syntology":null},{"paper":null,"slug":"decompopt-controllable-and-decomposed","title":"DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization","date":"2024-03-07","arxiv_id":"2403.13829","n_code_links":0,"syntology":null},{"paper":"/paper/delving-into-the-trajectory-long-tail","slug":"delving-into-the-trajectory-long-tail","title":"Delving into the Trajectory Long-tail Distribution for Muti-object Tracking","date":"2024-03-07","arxiv_id":"2403.04700","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["chen-si-jia/Trajectory-Long-tail-Distribution-for-MOT"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/disentangled-diffusion-based-3d-human-pose","slug":"disentangled-diffusion-based-3d-human-pose","title":"Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser","date":"2024-03-07","arxiv_id":"2403.04444","n_code_links":1,"syntology":null},{"paper":null,"slug":"dnact-diffusion-guided-multi-task-3d-policy","title":"DNAct: Diffusion Guided Multi-Task 3D Policy Learning","date":"2024-03-07","arxiv_id":"2403.04115","n_code_links":0,"syntology":null},{"paper":null,"slug":"medm2g-unifying-medical-multi-modal","title":"MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant","date":"2024-03-07","arxiv_id":"2403.04290","n_code_links":0,"syntology":null},{"paper":"/paper/objectcompose-evaluating-resilience-of-vision","slug":"objectcompose-evaluating-resilience-of-vision","title":"ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes","date":"2024-03-07","arxiv_id":"2403.04701","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-demand-quantization-for-green-federated","title":"On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks","date":"2024-03-07","arxiv_id":"2403.04430","n_code_links":0,"syntology":null},{"paper":"/paper/pix2gif-motion-guided-diffusion-for-gif","slug":"pix2gif-motion-guided-diffusion-for-gif","title":"Pix2Gif: Motion-Guided Diffusion for GIF Generation","date":"2024-03-07","arxiv_id":"2403.04634","n_code_links":1,"syntology":null},{"paper":"/paper/pixart-s-weak-to-strong-training-of-diffusion","slug":"pixart-s-weak-to-strong-training-of-diffusion","title":"PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation","date":"2024-03-07","arxiv_id":"2403.04692","n_code_links":2,"syntology":{"ran":6,"of":9,"n_ran_checked":3,"n_instrument":3,"unverified":3,"pointer_only":6,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["PixArt-alpha/PixArt-sigma"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"stabledrag-stable-dragging-for-point-based","title":"StableDrag: Stable Dragging for Point-based Image Editing","date":"2024-03-07","arxiv_id":"2403.04437","n_code_links":0,"syntology":null},{"paper":"/paper/3d-diffusion-policy","slug":"3d-diffusion-policy","title":"3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations","date":"2024-03-06","arxiv_id":"2403.03954","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: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["YanjieZe/3D-Diffusion-Policy"],"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":null,"slug":"accelerating-convergence-of-score-based","title":"Accelerating Convergence of Score-Based Diffusion Models, Provably","date":"2024-03-06","arxiv_id":"2403.03852","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-based-generative-prior-for-low","slug":"diffusion-based-generative-prior-for-low","title":"Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation","date":"2024-03-06","arxiv_id":"2403.03545","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffusion-on-language-model-embeddings-for","title":"Diffusion on language model encodings for protein sequence generation","date":"2024-03-06","arxiv_id":"2403.03726","n_code_links":0,"syntology":null},{"paper":"/paper/flame-diffuser-grounded-wildfire-image","slug":"flame-diffuser-grounded-wildfire-image","title":"FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion","date":"2024-03-06","arxiv_id":"2403.03463","n_code_links":1,"syntology":{"ran":13,"of":16,"n_ran_checked":7,"n_instrument":6,"unverified":3,"pointer_only":16,"phrase":"13 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; 6 where Syntology's instrument failed) · 3 unverified","official":{"repos":["AIS-Clemson/FLAME_SD"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/guide-guidance-based-incremental-learning","slug":"guide-guidance-based-incremental-learning","title":"GUIDE: Guidance-based Incremental Learning with Diffusion Models","date":"2024-03-06","arxiv_id":"2403.03938","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["cywinski/guide"],"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":null,"slug":"hierarchical-diffusion-policy-for-kinematics","title":"Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation","date":"2024-03-06","arxiv_id":"2403.03890","n_code_links":0,"syntology":null},{"paper":null,"slug":"inverse-resolution-of-spatially-varying","title":"Inverse resolution of spatially varying diffusion coefficient using Physics-Informed neural networks","date":"2024-03-06","arxiv_id":"2403.03970","n_code_links":0,"syntology":null},{"paper":null,"slug":"latent-dataset-distillation-with-diffusion","title":"Latent Dataset Distillation with Diffusion Models","date":"2024-03-06","arxiv_id":"2403.03881","n_code_links":0,"syntology":null},{"paper":null,"slug":"neural-additive-image-model-interpretation","title":"Neural Additive Image Model: Interpretation through Interpolation","date":"2024-03-06","arxiv_id":"2405.02295","n_code_links":0,"syntology":null},{"paper":"/paper/noisecollage-a-layout-aware-text-to-image","slug":"noisecollage-a-layout-aware-text-to-image","title":"NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging","date":"2024-03-06","arxiv_id":"2403.03485","n_code_links":1,"syntology":{"ran":5,"of":9,"n_ran_checked":4,"n_instrument":1,"unverified":4,"pointer_only":9,"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) · 4 unverified","official":{"repos":["univ-esuty/noisecollage"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/promptcharm-text-to-image-generation-through","slug":"promptcharm-text-to-image-generation-through","title":"PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement","date":"2024-03-06","arxiv_id":"2403.04014","n_code_links":1,"syntology":null},{"paper":null,"slug":"sculpting-molecules-in-3d-a-flexible","title":"Sculpting Molecules in Text-3D Space: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization","date":"2024-03-06","arxiv_id":"2403.03425","n_code_links":0,"syntology":null},{"paper":null,"slug":"spectral-algorithms-on-manifolds-through","title":"Spectral Algorithms on Manifolds through Diffusion","date":"2024-03-06","arxiv_id":"2403.03669","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-understanding-cross-and-self","title":"Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing","date":"2024-03-06","arxiv_id":"2403.03431","n_code_links":0,"syntology":null},{"paper":"/paper/behavior-generation-with-latent-actions","slug":"behavior-generation-with-latent-actions","title":"Behavior Generation with Latent Actions","date":"2024-03-05","arxiv_id":"2403.03181","n_code_links":2,"syntology":{"ran":8,"of":14,"n_ran_checked":7,"n_instrument":1,"unverified":6,"pointer_only":2,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 2 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified","official":{"repos":["jayLEE0301/vq_bet_official"],"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":["listed","official"]}}},{"paper":null,"slug":"bias-in-generative-ai","title":"Bias in Generative AI","date":"2024-03-05","arxiv_id":"2403.02726","n_code_links":0,"syntology":null},{"paper":null,"slug":"cross-domain-image-conversion-by-cycledm","title":"Cross-Domain Image Conversion by CycleDM","date":"2024-03-05","arxiv_id":"2403.02919","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-the-rate-distortion-perception","title":"Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders","date":"2024-03-05","arxiv_id":"2403.02887","n_code_links":0,"syntology":null},{"paper":null,"slug":"fast-scale-adaptive-and-uncertainty-aware","title":"Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning","date":"2024-03-05","arxiv_id":"2403.02774","n_code_links":0,"syntology":null},{"paper":"/paper/few-shot-learner-parameterization-by","slug":"few-shot-learner-parameterization-by","title":"Few-shot Learner Parameterization by Diffusion Time-steps","date":"2024-03-05","arxiv_id":"2403.02649","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":6,"n_instrument":0,"unverified":1,"pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["yue-zhongqi/tif"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/magid-an-automated-pipeline-for-generating","slug":"magid-an-automated-pipeline-for-generating","title":"MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets","date":"2024-03-05","arxiv_id":"2403.03194","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":11,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["amazon-science/MAGID"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/naturalspeech-3-zero-shot-speech-synthesis","slug":"naturalspeech-3-zero-shot-speech-synthesis","title":"NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models","date":"2024-03-05","arxiv_id":"2403.03100","n_code_links":1,"syntology":null},{"paper":"/paper/on-the-asymptotic-mean-square-error","slug":"on-the-asymptotic-mean-square-error","title":"On the Asymptotic Mean Square Error Optimality of Diffusion Models","date":"2024-03-05","arxiv_id":"2403.02957","n_code_links":1,"syntology":null},{"paper":"/paper/scalable-continuous-time-diffusion-framework","slug":"scalable-continuous-time-diffusion-framework","title":"Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation","date":"2024-03-05","arxiv_id":"2403.02867","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["kkhuang81/FIM"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/scaling-rectified-flow-transformers-for-high","slug":"scaling-rectified-flow-transformers-for-high","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","date":"2024-03-05","arxiv_id":"2403.03206","n_code_links":2,"syntology":{"ran":10,"of":11,"n_ran_checked":10,"n_instrument":0,"unverified":1,"pointer_only":11,"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) · 1 unverified","official":null}},{"paper":"/paper/semantic-human-mesh-reconstruction-with","slug":"semantic-human-mesh-reconstruction-with","title":"Semantic Human Mesh Reconstruction with Textures","date":"2024-03-05","arxiv_id":"2403.02561","n_code_links":1,"syntology":null},{"paper":null,"slug":"tuning-free-noise-rectification-for-high","title":"Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation","date":"2024-03-05","arxiv_id":"2403.02827","n_code_links":0,"syntology":null},{"paper":"/paper/updating-the-minimum-information-about","slug":"updating-the-minimum-information-about","title":"The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)","date":"2024-03-05","arxiv_id":"2403.02558","n_code_links":2,"syntology":null},{"paper":null,"slug":"zero-led-zero-reference-lighting-estimation","title":"Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement","date":"2024-03-05","arxiv_id":"2403.02879","n_code_links":0,"syntology":null},{"paper":"/paper/3dtopia-large-text-to-3d-generation-model","slug":"3dtopia-large-text-to-3d-generation-model","title":"3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors","date":"2024-03-04","arxiv_id":"2403.02234","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":7,"n_instrument":3,"unverified":1,"pointer_only":1,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 1 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["3dtopia/3dtopia"],"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":["official"]}}},{"paper":null,"slug":"anatomically-constrained-tractography-of-the","title":"Anatomically Constrained Tractography of the Fetal Brain","date":"2024-03-04","arxiv_id":"2403.02444","n_code_links":0,"syntology":null},{"paper":"/paper/differentially-private-synthetic-data-via-1","slug":"differentially-private-synthetic-data-via-1","title":"Differentially Private Synthetic Data via Foundation Model APIs 2: Text","date":"2024-03-04","arxiv_id":"2403.01749","n_code_links":2,"syntology":{"ran":6,"of":11,"n_ran_checked":6,"n_instrument":0,"unverified":5,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["ai-secure/aug-pe"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/diffmot-a-real-time-diffusion-based-multiple","slug":"diffmot-a-real-time-diffusion-based-multiple","title":"DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction","date":"2024-03-04","arxiv_id":"2403.02075","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-ts-interpretable-diffusion-for","slug":"diffusion-ts-interpretable-diffusion-for","title":"Diffusion-TS: Interpretable Diffusion for General Time Series Generation","date":"2024-03-04","arxiv_id":"2403.01742","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["y-debug-sys/diffusion-ts"],"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":null,"slug":"dragtex-generative-point-based-texture","title":"DragTex: Generative Point-Based Texture Editing on 3D Mesh","date":"2024-03-04","arxiv_id":"2403.02217","n_code_links":0,"syntology":null},{"paper":"/paper/facechain-imagineid-freely-crafting-high","slug":"facechain-imagineid-freely-crafting-high","title":"FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio","date":"2024-03-04","arxiv_id":"2403.01901","n_code_links":1,"syntology":null},{"paper":null,"slug":"handiffuser-text-to-image-generation-with","title":"HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances","date":"2024-03-04","arxiv_id":"2403.01693","n_code_links":0,"syntology":null},{"paper":null,"slug":"macroscopic-auxiliary-asymptotic-preserving","title":"Macroscopic auxiliary asymptotic preserving neural networks for the linear radiative transfer equations","date":"2024-03-04","arxiv_id":"2403.01820","n_code_links":0,"syntology":null}],"record_sha256":"ba6d1f29047bf00cb794c97e35b48d75b4ac4196a390d7355d75500d31aa0305","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}