{"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/77","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":77,"pages_in_order":139,"rows_per_page":100,"rows":[7601,7700],"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/76","next":"/method/diffusion/papers/78","papers":[{"paper":null,"slug":"tmpq-dm-joint-timestep-reduction-and","title":"TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models","date":"2024-04-15","arxiv_id":"2404.09532","n_code_links":0,"syntology":null},{"paper":null,"slug":"dreamscape-3d-scene-creation-via-gaussian","title":"DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling","date":"2024-04-14","arxiv_id":"2404.09227","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-generative-ai-for-sim2real-in","title":"Exploring Generative AI for Sim2Real in Driving Data Synthesis","date":"2024-04-14","arxiv_id":"2404.09111","n_code_links":0,"syntology":null},{"paper":null,"slug":"facecat-enhancing-face-recognition-security","title":"FaceCat: Enhancing Face Recognition Security with a Unified Diffusion Model","date":"2024-04-14","arxiv_id":"2404.09193","n_code_links":0,"syntology":null},{"paper":null,"slug":"fault-detection-in-mobile-networks-using","title":"Fault Detection in Mobile Networks Using Diffusion Models","date":"2024-04-14","arxiv_id":"2404.09240","n_code_links":0,"syntology":null},{"paper":null,"slug":"gcc-generative-calibration-clustering","title":"GCC: Generative Calibration Clustering","date":"2024-04-14","arxiv_id":"2404.09115","n_code_links":0,"syntology":null},{"paper":null,"slug":"loopanimate-loopable-salient-object-animation","title":"LoopAnimate: Loopable Salient Object Animation","date":"2024-04-14","arxiv_id":"2404.09172","n_code_links":0,"syntology":null},{"paper":"/paper/rf-diffusion-radio-signal-generation-via-time","slug":"rf-diffusion-radio-signal-generation-via-time","title":"RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion","date":"2024-04-14","arxiv_id":"2404.09140","n_code_links":1,"syntology":{"ran":0,"of":3,"n_ran_checked":0,"n_instrument":0,"unverified":3,"pointer_only":3,"phrase":"0 ran · 3 unverified","official":{"repos":["mobicom24/rf-diffusion"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":[]}}},{"paper":"/paper/roofdiffusion-constructing-roofs-from","slug":"roofdiffusion-constructing-roofs-from","title":"RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion","date":"2024-04-14","arxiv_id":"2404.09290","n_code_links":1,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["kylelo/roofdiffusion"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":"/paper/changeanywhere-sample-generation-for-remote","slug":"changeanywhere-sample-generation-for-remote","title":"ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Model","date":"2024-04-13","arxiv_id":"2404.08892","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffusion-models-meet-remote-sensing","title":"Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives","date":"2024-04-13","arxiv_id":"2404.08926","n_code_links":0,"syntology":null},{"paper":"/paper/enforcing-paraphrase-generation-via","slug":"enforcing-paraphrase-generation-via","title":"Improved Paraphrase Generation via Controllable Latent Diffusion","date":"2024-04-13","arxiv_id":"2404.08938","n_code_links":1,"syntology":null},{"paper":"/paper/multimodal-cross-document-event-coreference","slug":"multimodal-cross-document-event-coreference","title":"Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles","date":"2024-04-13","arxiv_id":"2404.08949","n_code_links":1,"syntology":null},{"paper":null,"slug":"rethinking-iterative-stereo-matching-from","title":"Rethinking Iterative Stereo Matching from Diffusion Bridge Model Perspective","date":"2024-04-13","arxiv_id":"2404.09051","n_code_links":0,"syntology":null},{"paper":null,"slug":"theoretical-research-on-generative-diffusion","title":"Theoretical research on generative diffusion models: an overview","date":"2024-04-13","arxiv_id":"2404.09016","n_code_links":0,"syntology":null},{"paper":"/paper/balanced-mixed-type-tabular-data-synthesis","slug":"balanced-mixed-type-tabular-data-synthesis","title":"Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models","date":"2024-04-12","arxiv_id":"2404.08254","n_code_links":1,"syntology":{"ran":8,"of":8,"n_ran_checked":8,"n_instrument":0,"unverified":0,"pointer_only":8,"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":{"repos":["comp-well-org/fair-tab-diffusion"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"diffusion-based-joint-temperature-and","title":"Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models","date":"2024-04-12","arxiv_id":"2404.08797","n_code_links":0,"syntology":null},{"paper":null,"slug":"lossy-image-compression-with-foundation","title":"Lossy Image Compression with Foundation Diffusion Models","date":"2024-04-12","arxiv_id":"2404.08580","n_code_links":0,"syntology":null},{"paper":null,"slug":"pird-physics-informed-residual-diffusion-for","title":"PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction","date":"2024-04-12","arxiv_id":"2404.08412","n_code_links":0,"syntology":null},{"paper":"/paper/semantic-approach-to-quantifying-the","slug":"semantic-approach-to-quantifying-the","title":"Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation","date":"2024-04-12","arxiv_id":"2404.08799","n_code_links":1,"syntology":null},{"paper":null,"slug":"struggle-with-adversarial-defense-try","title":"Struggle with Adversarial Defense? Try Diffusion","date":"2024-04-12","arxiv_id":"2404.08273","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-overview-of-diffusion-models-applications","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","date":"2024-04-11","arxiv_id":"2404.07771","n_code_links":0,"syntology":null},{"paper":"/paper/applying-guidance-in-a-limited-interval","slug":"applying-guidance-in-a-limited-interval","title":"Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models","date":"2024-04-11","arxiv_id":"2404.07724","n_code_links":2,"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":["kynkaat/guidance-interval"],"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/cat-contrastive-adapter-training-for","slug":"cat-contrastive-adapter-training-for","title":"CAT: Contrastive Adapter Training for Personalized Image Generation","date":"2024-04-11","arxiv_id":"2404.07554","n_code_links":1,"syntology":null},{"paper":"/paper/consistencydet-robust-object-detector-with","slug":"consistencydet-robust-object-detector-with","title":"ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency Model","date":"2024-04-11","arxiv_id":"2404.07773","n_code_links":1,"syntology":null},{"paper":"/paper/controlnet-improving-conditional-controls","slug":"controlnet-improving-conditional-controls","title":"ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback","date":"2024-04-11","arxiv_id":"2404.07987","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":5,"n_instrument":1,"unverified":2,"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) · 2 unverified","official":{"repos":["liming-ai/ControlNet_Plus_Plus"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"diffusing-in-someone-else-s-shoes-robotic","title":"Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion","date":"2024-04-11","arxiv_id":"2404.07735","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-posterior-sampling-for-simulation","slug":"diffusion-posterior-sampling-for-simulation","title":"Diffusion posterior sampling for simulation-based inference in tall data settings","date":"2024-04-11","arxiv_id":"2404.07593","n_code_links":1,"syntology":{"ran":9,"of":14,"n_ran_checked":9,"n_instrument":0,"unverified":5,"pointer_only":14,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["julialinhart/diffusions-for-sbi"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"diffusion-probabilistic-multi-cue-level-set","title":"Diffusion Probabilistic Multi-cue Level Set for Reducing Edge Uncertainty in Pancreas Segmentation","date":"2024-04-11","arxiv_id":"2404.07620","n_code_links":0,"syntology":null},{"paper":null,"slug":"generating-synthetic-satellite-imagery-with","title":"Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models -- Technical Challenges and Implications for Monitoring and Verification","date":"2024-04-11","arxiv_id":"2404.07754","n_code_links":0,"syntology":null},{"paper":null,"slug":"implicit-and-explicit-language-guidance-for","title":"Implicit and Explicit Language Guidance for Diffusion-based Visual Perception","date":"2024-04-11","arxiv_id":"2404.07600","n_code_links":0,"syntology":null},{"paper":null,"slug":"joint-conditional-diffusion-model-for-image","title":"Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations","date":"2024-04-11","arxiv_id":"2404.07770","n_code_links":0,"syntology":null},{"paper":null,"slug":"objblur-a-curriculum-learning-approach-with","title":"ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation","date":"2024-04-11","arxiv_id":"2404.07564","n_code_links":0,"syntology":null},{"paper":"/paper/openbias-open-set-bias-detection-in-text-to","slug":"openbias-open-set-bias-detection-in-text-to","title":"OpenBias: Open-set Bias Detection in Text-to-Image Generative Models","date":"2024-04-11","arxiv_id":"2404.07990","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: 0 honoured, 1 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["picsart-ai-research/openbias"],"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":"rethinking-artistic-copyright-infringements","title":"Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models","date":"2024-04-11","arxiv_id":"2404.08030","n_code_links":0,"syntology":null},{"paper":"/paper/taming-stable-diffusion-for-text-to-360deg","slug":"taming-stable-diffusion-for-text-to-360deg","title":"Taming Stable Diffusion for Text to 360° Panorama Image Generation","date":"2024-04-11","arxiv_id":"2404.07949","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":2,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["chengzhag/panfusion"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/diffusion-based-inpainting-of-incomplete","slug":"diffusion-based-inpainting-of-incomplete","title":"Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion","date":"2024-04-10","arxiv_id":"2404.07029","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffusiondialog-a-diffusion-model-for-diverse","title":"DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space","date":"2024-04-10","arxiv_id":"2404.06760","n_code_links":0,"syntology":null},{"paper":"/paper/disguised-copyright-infringement-of-latent","slug":"disguised-copyright-infringement-of-latent","title":"Disguised Copyright Infringement of Latent Diffusion Models","date":"2024-04-10","arxiv_id":"2404.06737","n_code_links":1,"syntology":{"ran":9,"of":10,"n_ran_checked":7,"n_instrument":2,"unverified":1,"pointer_only":3,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 2 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["watml/disguised_copyright_infringement"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"dreamscene360-unconstrained-text-to-3d-scene","title":"DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting","date":"2024-04-10","arxiv_id":"2404.06903","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-denoising-using-score-embedding-in","title":"Efficient Denoising using Score Embedding in Score-based Diffusion Models","date":"2024-04-10","arxiv_id":"2404.06661","n_code_links":0,"syntology":null},{"paper":null,"slug":"fine-color-guidance-in-diffusion-models-and","title":"Fine color guidance in diffusion models and its application to image compression at extremely low bitrates","date":"2024-04-10","arxiv_id":"2404.06865","n_code_links":0,"syntology":null},{"paper":"/paper/gooddrag-towards-good-practices-for-drag","slug":"gooddrag-towards-good-practices-for-drag","title":"GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models","date":"2024-04-10","arxiv_id":"2404.07206","n_code_links":0,"syntology":null},{"paper":"/paper/instantmesh-efficient-3d-mesh-generation-from","slug":"instantmesh-efficient-3d-mesh-generation-from","title":"InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models","date":"2024-04-10","arxiv_id":"2404.07191","n_code_links":1,"syntology":{"ran":14,"of":15,"n_ran_checked":12,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["tencentarc/instantmesh"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"move-anything-with-layered-scene-diffusion","title":"Move Anything with Layered Scene Diffusion","date":"2024-04-10","arxiv_id":"2404.07178","n_code_links":0,"syntology":null},{"paper":null,"slug":"object-conditioned-energy-based-attention-map","title":"Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models","date":"2024-04-10","arxiv_id":"2404.07389","n_code_links":0,"syntology":null},{"paper":null,"slug":"prediction-of-cryptocurrency-prices-through-a","title":"Prediction of Cryptocurrency Prices through a Path Dependent Monte Carlo Simulation","date":"2024-04-10","arxiv_id":"2405.12988","n_code_links":0,"syntology":null},{"paper":null,"slug":"realmdreamer-text-driven-3d-scene-generation","title":"RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion","date":"2024-04-10","arxiv_id":"2404.07199","n_code_links":0,"syntology":null},{"paper":"/paper/safegen-mitigating-unsafe-content-generation","slug":"safegen-mitigating-unsafe-content-generation","title":"SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models","date":"2024-04-10","arxiv_id":"2404.06666","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":5,"n_instrument":1,"unverified":2,"pointer_only":2,"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) · 2 unverified","official":{"repos":["letterligo/text-agnostic-governance"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/solving-masked-jigsaw-puzzles-with-diffusion","slug":"solving-masked-jigsaw-puzzles-with-diffusion","title":"Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers","date":"2024-04-10","arxiv_id":"2404.07292","n_code_links":1,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["jinyangmarkliu/jpdvt"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":null,"slug":"tuning-free-adaptive-style-incorporation-for","title":"Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer","date":"2024-04-10","arxiv_id":"2404.06835","n_code_links":0,"syntology":null},{"paper":"/paper/udiff-generating-conditional-unsigned","slug":"udiff-generating-conditional-unsigned","title":"UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion","date":"2024-04-10","arxiv_id":"2404.06851","n_code_links":1,"syntology":null},{"paper":null,"slug":"unveiling-the-potential-of-diffusion-model","title":"Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification","date":"2024-04-10","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/urban-architect-steerable-3d-urban-scene","slug":"urban-architect-steerable-3d-urban-scene","title":"Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior","date":"2024-04-10","arxiv_id":"2404.06780","n_code_links":1,"syntology":null},{"paper":null,"slug":"voiceshop-a-unified-speech-to-speech","title":"VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving Zero-Shot Voice Editing","date":"2024-04-10","arxiv_id":"2404.06674","n_code_links":0,"syntology":null},{"paper":"/paper/zero-shot-point-cloud-completion-via-2d","slug":"zero-shot-point-cloud-completion-via-2d","title":"ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors","date":"2024-04-10","arxiv_id":"2404.06814","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["Tianxinhuang/ComPC"],"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/diffharmony-latent-diffusion-model-meets","slug":"diffharmony-latent-diffusion-model-meets","title":"DiffHarmony: Latent Diffusion Model Meets Image Harmonization","date":"2024-04-09","arxiv_id":"2404.06139","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":8,"n_instrument":0,"unverified":2,"pointer_only":10,"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) · 2 unverified","official":{"repos":["nicecv/diffharmony"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"diffusion-based-point-cloud-super-resolution","title":"Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data","date":"2024-04-09","arxiv_id":"2404.06012","n_code_links":0,"syntology":null},{"paper":null,"slug":"geodirdock-guiding-docking-along-geodesic","title":"GeoDirDock: Guiding Docking Along Geodesic Paths","date":"2024-04-09","arxiv_id":"2404.06481","n_code_links":0,"syntology":null},{"paper":"/paper/greedy-dim-greedy-algorithms-for-unreasonably","slug":"greedy-dim-greedy-algorithms-for-unreasonably","title":"Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs","date":"2024-04-09","arxiv_id":"2404.06025","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":1,"n_instrument":3,"unverified":1,"pointer_only":1,"phrase":"4 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["zblasingame/Greedy-DiM"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/hash3d-training-free-acceleration-for-3d","slug":"hash3d-training-free-acceleration-for-3d","title":"Hash3D: Training-free Acceleration for 3D Generation","date":"2024-04-09","arxiv_id":"2404.06091","n_code_links":1,"syntology":{"ran":19,"of":21,"n_ran_checked":16,"n_instrument":3,"unverified":2,"pointer_only":21,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 2 honoured, 0 violated, 14 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["Adamdad/hash3D"],"state":"official (archive's flag): 19 ran","n_ran":19,"n_constructed":0,"n_ran_no_instrument_failure":16,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/magic-boost-boost-3d-generation-with-mutli","slug":"magic-boost-boost-3d-generation-with-mutli","title":"Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion","date":"2024-04-09","arxiv_id":"2404.06429","n_code_links":1,"syntology":null},{"paper":null,"slug":"map-optical-properties-to-subwavelength","title":"Map Optical Properties to Subwavelength Structures Directly via a Diffusion Model","date":"2024-04-09","arxiv_id":"2404.05959","n_code_links":0,"syntology":null},{"paper":"/paper/policy-guided-diffusion","slug":"policy-guided-diffusion","title":"Policy-Guided Diffusion","date":"2024-04-09","arxiv_id":"2404.06356","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":4,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"6 ran (of which 0 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":{"repos":["emptyjackson/policy-guided-diffusion"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"quantum-state-generation-with-structure","title":"Quantum State Generation with Structure-Preserving Diffusion Model","date":"2024-04-09","arxiv_id":"2404.06336","n_code_links":0,"syntology":null},{"paper":"/paper/scrdit-generating-single-cell-rna-seq-data-by","slug":"scrdit-generating-single-cell-rna-seq-data-by","title":"scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating sampling","date":"2024-04-09","arxiv_id":"2404.06153","n_code_links":1,"syntology":null},{"paper":"/paper/tackling-structural-hallucination-in-image","slug":"tackling-structural-hallucination-in-image","title":"Tackling Structural Hallucination in Image Translation with Local Diffusion","date":"2024-04-09","arxiv_id":"2404.05980","n_code_links":1,"syntology":{"ran":10,"of":10,"n_ran_checked":9,"n_instrument":1,"unverified":0,"pointer_only":10,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 4 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["edshkim98/localdiffusion-hallucination"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"training-free-open-vocabulary-segmentation","title":"Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation","date":"2024-04-09","arxiv_id":"2404.06542","n_code_links":0,"syntology":null},{"paper":"/paper/zest-zero-shot-material-transfer-from-a","slug":"zest-zero-shot-material-transfer-from-a","title":"ZeST: Zero-Shot Material Transfer from a Single Image","date":"2024-04-09","arxiv_id":"2404.06425","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-training-free-plug-and-play-watermark","title":"A Training-Free Plug-and-Play Watermark Framework for Stable Diffusion","date":"2024-04-08","arxiv_id":"2404.05607","n_code_links":0,"syntology":null},{"paper":"/paper/binarydm-towards-accurate-binarization-of","slug":"binarydm-towards-accurate-binarization-of","title":"BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models","date":"2024-04-08","arxiv_id":"2404.05662","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, 1 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["xingyu-zheng/binarydm"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"diffcjk-conditional-diffusion-model-for-high","title":"DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation","date":"2024-04-08","arxiv_id":"2404.05212","n_code_links":0,"syntology":null},{"paper":null,"slug":"investigating-the-effectiveness-of-cross","title":"Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models","date":"2024-04-08","arxiv_id":"2404.05519","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-a-category-level-object-pose","title":"Learning a Category-level Object Pose Estimator without Pose Annotations","date":"2024-04-08","arxiv_id":"2404.05626","n_code_links":0,"syntology":null},{"paper":null,"slug":"mask-controlnet-higher-quality-image","title":"Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt","date":"2024-04-08","arxiv_id":"2404.05331","n_code_links":0,"syntology":null},{"paper":"/paper/moma-multimodal-llm-adapter-for-fast","slug":"moma-multimodal-llm-adapter-for-fast","title":"MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation","date":"2024-04-08","arxiv_id":"2404.05674","n_code_links":1,"syntology":{"ran":1,"of":4,"n_ran_checked":1,"n_instrument":0,"unverified":3,"pointer_only":4,"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) · 3 unverified","official":{"repos":["bytedance/MoMA"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/naf-dpm-a-nonlinear-activation-free-diffusion","slug":"naf-dpm-a-nonlinear-activation-free-diffusion","title":"NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement","date":"2024-04-08","arxiv_id":"2404.05669","n_code_links":2,"syntology":null},{"paper":"/paper/rethinking-the-spatial-inconsistency-in","slug":"rethinking-the-spatial-inconsistency-in","title":"Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance","date":"2024-04-08","arxiv_id":"2404.05384","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 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":["smilesdzgk/s-cfg"],"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":null,"slug":"text-to-image-synthesis-for-any-artistic","title":"StyleForge: Enhancing Text-to-Image Synthesis for Any Artistic Styles with Dual Binding","date":"2024-04-08","arxiv_id":"2404.05256","n_code_links":0,"syntology":null},{"paper":null,"slug":"unifl-improve-stable-diffusion-via-unified","title":"UniFL: Improve Latent Diffusion Model via Unified Feedback Learning","date":"2024-04-08","arxiv_id":"2404.05595","n_code_links":0,"syntology":null},{"paper":null,"slug":"yaart-yet-another-art-rendering-technology","title":"YaART: Yet Another ART Rendering Technology","date":"2024-04-08","arxiv_id":"2404.05666","n_code_links":0,"syntology":null},{"paper":"/paper/a-unified-diffusion-framework-for-scene-aware","slug":"a-unified-diffusion-framework-for-scene-aware","title":"A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals","date":"2024-04-07","arxiv_id":"2404.04890","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":2,"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":["jn-tang/s2fusion"],"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":null,"slug":"context-dependent-causality-the-non-nonotonic","title":"Context-dependent Causality (the Non-Nonotonic Case)","date":"2024-04-07","arxiv_id":"2404.05021","n_code_links":0,"syntology":null},{"paper":null,"slug":"correcting-diffusion-based-perceptual-image","title":"Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder","date":"2024-04-07","arxiv_id":"2404.04916","n_code_links":0,"syntology":null},{"paper":"/paper/gaussian-shading-provable-performance","slug":"gaussian-shading-provable-performance","title":"Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models","date":"2024-04-07","arxiv_id":"2404.04956","n_code_links":1,"syntology":{"ran":12,"of":14,"n_ran_checked":11,"n_instrument":1,"unverified":2,"pointer_only":10,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 1 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["bsmhmmlf/Gaussian-Shading"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"light-the-night-a-multi-condition-diffusion","title":"Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving","date":"2024-04-07","arxiv_id":"2404.04804","n_code_links":0,"syntology":null},{"paper":"/paper/mixture-of-low-rank-experts-for-transferable","slug":"mixture-of-low-rank-experts-for-transferable","title":"Mixture of Low-rank Experts for Transferable AI-Generated Image Detection","date":"2024-04-07","arxiv_id":"2404.04883","n_code_links":1,"syntology":null},{"paper":"/paper/pmg-personalized-multimodal-generation-with","slug":"pmg-personalized-multimodal-generation-with","title":"PMG : Personalized Multimodal Generation with Large Language Models","date":"2024-04-07","arxiv_id":"2404.08677","n_code_links":3,"syntology":{"ran":4,"of":5,"n_ran_checked":1,"n_instrument":3,"unverified":1,"pointer_only":5,"phrase":"4 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Suikasxt/PMG"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"regularized-conditional-diffusion-model-for","title":"Regularized Conditional Diffusion Model for Multi-Task Preference Alignment","date":"2024-04-07","arxiv_id":"2404.04920","n_code_links":0,"syntology":null},{"paper":"/paper/rethinking-diffusion-model-for-multi-contrast","slug":"rethinking-diffusion-model-for-multi-contrast","title":"Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution","date":"2024-04-07","arxiv_id":"2404.04785","n_code_links":1,"syntology":{"ran":11,"of":11,"n_ran_checked":4,"n_instrument":7,"unverified":0,"pointer_only":11,"phrase":"11 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; 7 where Syntology's instrument failed) · 0 unverified","official":{"repos":["guangyuankk/diffmsr"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"shoemodel-learning-to-wear-on-the-user","title":"ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model","date":"2024-04-07","arxiv_id":"2404.04833","n_code_links":0,"syntology":null},{"paper":null,"slug":"wi-fi-based-personnel-identity-recognition","title":"Wi-Fi-based Personnel Identity Recognition: Addressing Dataset Imbalance with C-DDPMs","date":"2024-04-07","arxiv_id":"2404.04829","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-diffusion-mri-tractography-atlas-for","title":"A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations","date":"2024-04-06","arxiv_id":"2404.04604","n_code_links":0,"syntology":null},{"paper":"/paper/aligning-diffusion-models-by-optimizing-human","slug":"aligning-diffusion-models-by-optimizing-human","title":"Aligning Diffusion Models by Optimizing Human Utility","date":"2024-04-06","arxiv_id":"2404.04465","n_code_links":2,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["jacklishufan/diffusion-kto"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":null,"slug":"beyondscene-higher-resolution-human-centric","title":"BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion","date":"2024-04-06","arxiv_id":"2404.04544","n_code_links":0,"syntology":null},{"paper":null,"slug":"cascaded-multi-path-shortcut-diffusion-model","title":"Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation","date":"2024-04-06","arxiv_id":"2405.12223","n_code_links":0,"syntology":null},{"paper":null,"slug":"constrained-6-dof-grasp-generation-on-complex","title":"Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation","date":"2024-04-06","arxiv_id":"2404.04643","n_code_links":0,"syntology":null},{"paper":null,"slug":"datenerf-depth-aware-text-based-editing-of","title":"DATENeRF: Depth-Aware Text-based Editing of NeRFs","date":"2024-04-06","arxiv_id":"2404.04526","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffuser-diffusion-model-for-robust-multi","title":"DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation","date":"2024-04-06","arxiv_id":"2404.04629","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-rwkv-scaling-rwkv-like","slug":"diffusion-rwkv-scaling-rwkv-like","title":"Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models","date":"2024-04-06","arxiv_id":"2404.04478","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":5,"n_instrument":5,"unverified":1,"pointer_only":11,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 4 honoured, 0 violated, 1 with no contract checked; 5 where Syntology's instrument failed) · 1 unverified","official":{"repos":["feizc/diffusion-rwkv"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}}],"record_sha256":"7b8dd598b502ca3d498d5fead3519f96c74495f96e24d471d2eed128589d4469","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}