{"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/pixel-prediction/papers/6","list_of":"/method/pixel-prediction","method":"Inpainting","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":6,"pages_in_order":10,"rows_per_page":100,"rows":[501,600],"of":998,"counts":{"archive_papers_tagged":998,"with_a_code_link":390,"where_syntology_ran_a_sample":91,"not_listed_spam_title":0,"listed":998,"listed_where_code_ran":91,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":86,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":86,"listed_every_run_a_failure_of_syntologys_instrument":5,"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/pixel-prediction","prev":"/method/pixel-prediction/papers/5","next":"/method/pixel-prediction/papers/7","papers":[{"paper":"/paper/street-tryon-learning-in-the-wild-virtual-try","slug":"street-tryon-learning-in-the-wild-virtual-try","title":"Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images","date":"2023-11-27","arxiv_id":"2311.16094","n_code_links":1,"syntology":null},{"paper":null,"slug":"video-anomaly-detection-via-spatio-temporal","title":"Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach","date":"2023-11-27","arxiv_id":"2311.16514","n_code_links":0,"syntology":null},{"paper":"/paper/flow-guided-diffusion-for-video-inpainting","slug":"flow-guided-diffusion-for-video-inpainting","title":"Flow-Guided Diffusion for Video Inpainting","date":"2023-11-26","arxiv_id":"2311.15368","n_code_links":1,"syntology":null},{"paper":"/paper/leveraging-diffusion-perturbations-for","slug":"leveraging-diffusion-perturbations-for","title":"Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision","date":"2023-11-25","arxiv_id":"2311.15108","n_code_links":1,"syntology":null},{"paper":null,"slug":"senseai-real-time-inpainting-for-electron","title":"SenseAI: Real-Time Inpainting for Electron Microscopy","date":"2023-11-25","arxiv_id":"2311.15061","n_code_links":0,"syntology":null},{"paper":"/paper/act-adversarial-consistency-models","slug":"act-adversarial-consistency-models","title":"ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models","date":"2023-11-23","arxiv_id":"2311.14097","n_code_links":1,"syntology":{"ran":11,"of":12,"n_ran_checked":11,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["kong13661/act"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"luciddreamer-domain-free-generation-of-3d","title":"LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes","date":"2023-11-22","arxiv_id":"2311.13384","n_code_links":0,"syntology":null},{"paper":"/paper/mam-e-mammographic-synthetic-image-generation","slug":"mam-e-mammographic-synthetic-image-generation","title":"MAM-E: Mammographic synthetic image generation with diffusion models","date":"2023-11-16","arxiv_id":"2311.09822","n_code_links":2,"syntology":null},{"paper":null,"slug":"single-image-3d-human-digitization-with-shape","title":"Single-Image 3D Human Digitization with Shape-Guided Diffusion","date":"2023-11-15","arxiv_id":"2311.09221","n_code_links":0,"syntology":null},{"paper":null,"slug":"dialogizer-context-aware-conversational-qa","title":"Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources","date":"2023-11-09","arxiv_id":"2311.07589","n_code_links":0,"syntology":null},{"paper":null,"slug":"viola-aligning-videos-to-2d-lidar-scans","title":"VioLA: Aligning Videos to 2D LiDAR Scans","date":"2023-11-08","arxiv_id":"2311.04783","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-the-capability-of-text-to-image","title":"Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image Inpainting","date":"2023-11-06","arxiv_id":"2311.03008","n_code_links":0,"syntology":null},{"paper":"/paper/diffdub-person-generic-visual-dubbing-using","slug":"diffdub-person-generic-visual-dubbing-using","title":"DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder","date":"2023-11-03","arxiv_id":"2311.01811","n_code_links":1,"syntology":null},{"paper":"/paper/infusion-internal-diffusion-for-video","slug":"infusion-internal-diffusion-for-video","title":"Infusion: internal diffusion for inpainting of dynamic textures and complex motion","date":"2023-11-02","arxiv_id":"2311.01090","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-blessing-of-randomness-sde-beats-ode-in","title":"The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing","date":"2023-11-02","arxiv_id":"2311.01410","n_code_links":0,"syntology":null},{"paper":null,"slug":"controllable-music-production-with-diffusion","title":"Controllable Music Production with Diffusion Models and Guidance Gradients","date":"2023-11-01","arxiv_id":"2311.00613","n_code_links":0,"syntology":null},{"paper":null,"slug":"neural-implicit-field-editing-considering","title":"Neural Implicit Field Editing Considering Object-environment Interaction","date":"2023-11-01","arxiv_id":"2311.00425","n_code_links":0,"syntology":null},{"paper":null,"slug":"bert-pin-a-bert-based-framework-for","title":"BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles","date":"2023-10-26","arxiv_id":"2310.17742","n_code_links":0,"syntology":null},{"paper":null,"slug":"4d-editor-interactive-object-level-editing-in","title":"4D-Editor: Interactive Object-level Editing in Dynamic Neural Radiance Fields via Semantic Distillation","date":"2023-10-25","arxiv_id":"2310.16858","n_code_links":0,"syntology":null},{"paper":"/paper/perf-panoramic-neural-radiance-field-from-a","slug":"perf-panoramic-neural-radiance-field-from-a","title":"PERF: Panoramic Neural Radiance Field from a Single Panorama","date":"2023-10-25","arxiv_id":"2310.16831","n_code_links":1,"syntology":null},{"paper":null,"slug":"from-posterior-sampling-to-meaningful","title":"From Posterior Sampling to Meaningful Diversity in Image Restoration","date":"2023-10-24","arxiv_id":"2310.16047","n_code_links":0,"syntology":null},{"paper":null,"slug":"invs-repurposing-diffusion-inpainters-for","title":"iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis","date":"2023-10-24","arxiv_id":"2310.16167","n_code_links":0,"syntology":null},{"paper":"/paper/e4s-fine-grained-face-swapping-via-editing","slug":"e4s-fine-grained-face-swapping-via-editing","title":"E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion","date":"2023-10-23","arxiv_id":"2310.15081","n_code_links":2,"syntology":null},{"paper":null,"slug":"psgtext-stroke-guided-scene-text-editing-with","title":"PSGText: Stroke-Guided Scene Text Editing with PSP Module","date":"2023-10-20","arxiv_id":"2310.13366","n_code_links":0,"syntology":null},{"paper":null,"slug":"dreamspace-dreaming-your-room-space-with-text","title":"DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation","date":"2023-10-19","arxiv_id":"2310.13119","n_code_links":0,"syntology":null},{"paper":null,"slug":"co-learning-semantic-aware-unsupervised","title":"Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration","date":"2023-10-17","arxiv_id":"2310.11040","n_code_links":0,"syntology":null},{"paper":null,"slug":"sair-learning-semantic-aware-implicit","title":"SAIR: Learning Semantic-aware Implicit Representation","date":"2023-10-13","arxiv_id":"2310.09285","n_code_links":0,"syntology":null},{"paper":"/paper/deep-video-inpainting-guided-by-audio-visual","slug":"deep-video-inpainting-guided-by-audio-visual","title":"Deep Video Inpainting Guided by Audio-Visual Self-Supervision","date":"2023-10-11","arxiv_id":"2310.07663","n_code_links":1,"syntology":null},{"paper":"/paper/uni-paint-a-unified-framework-for-multimodal","slug":"uni-paint-a-unified-framework-for-multimodal","title":"Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model","date":"2023-10-11","arxiv_id":"2310.07222","n_code_links":1,"syntology":{"ran":12,"of":13,"n_ran_checked":9,"n_instrument":3,"unverified":1,"pointer_only":2,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 2 honoured, 3 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["ysy31415/unipaint"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/advancing-pose-guided-image-synthesis-with","slug":"advancing-pose-guided-image-synthesis-with","title":"Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models","date":"2023-10-10","arxiv_id":"2310.06313","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":7,"n_instrument":3,"unverified":1,"pointer_only":4,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 1 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["tencent-ailab/PCDMs"],"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":"adversarial-masked-image-inpainting-for","title":"Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox","date":"2023-10-10","arxiv_id":"2310.06318","n_code_links":0,"syntology":null},{"paper":"/paper/perceptual-artifacts-localization-for-image-1","slug":"perceptual-artifacts-localization-for-image-1","title":"Perceptual Artifacts Localization for Image Synthesis Tasks","date":"2023-10-09","arxiv_id":"2310.05590","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["open-mmlab/mmsegmentation"],"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/excision-and-recovery-enhancing-surface","slug":"excision-and-recovery-enhancing-surface","title":"Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy","date":"2023-10-06","arxiv_id":"2310.04010","n_code_links":0,"syntology":null},{"paper":null,"slug":"magicremover-tuning-free-text-guided-image","title":"Magicremover: Tuning-free Text-guided Image inpainting with Diffusion Models","date":"2023-10-04","arxiv_id":"2310.02848","n_code_links":0,"syntology":null},{"paper":"/paper/posterior-sampling-based-on-gradient-flows-of","slug":"posterior-sampling-based-on-gradient-flows-of","title":"Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel","date":"2023-10-04","arxiv_id":"2310.03054","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["fabianaltekrueger/conditional_mmd_flows"],"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":"recovery-of-training-data-from","title":"How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation","date":"2023-10-04","arxiv_id":"2310.02897","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-reporting-bias-in-visual-language","title":"Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association","date":"2023-10-02","arxiv_id":"2310.01330","n_code_links":0,"syntology":null},{"paper":null,"slug":"realfill-reference-driven-generation-for","title":"RealFill: Reference-Driven Generation for Authentic Image Completion","date":"2023-09-28","arxiv_id":"2309.16668","n_code_links":0,"syntology":null},{"paper":null,"slug":"uvl-a-unified-framework-for-video-tampering","title":"UVL2: A Unified Framework for Video Tampering Localization","date":"2023-09-28","arxiv_id":"2309.16126","n_code_links":0,"syntology":null},{"paper":null,"slug":"dreamcom-finetuning-text-guided-inpainting","title":"DreamCom: Finetuning Text-guided Inpainting Model for Image Composition","date":"2023-09-27","arxiv_id":"2309.15508","n_code_links":0,"syntology":null},{"paper":"/paper/bitstream-corrupted-video-recovery-a-novel-1","slug":"bitstream-corrupted-video-recovery-a-novel-1","title":"Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method","date":"2023-09-25","arxiv_id":"2309.13890","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":5,"n_instrument":0,"unverified":3,"pointer_only":8,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["liutighe/bscv-dataset"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/diverse-semantic-image-editing-with-style","slug":"diverse-semantic-image-editing-with-style","title":"Diverse Semantic Image Editing with Style Codes","date":"2023-09-25","arxiv_id":"2309.13975","n_code_links":1,"syntology":null},{"paper":null,"slug":"gaining-insights-into-denoising-by-inpainting","title":"Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting","date":"2023-09-23","arxiv_id":"2309.13486","n_code_links":0,"syntology":null},{"paper":"/paper/paintseg-painting-pixels-for-training-free","slug":"paintseg-painting-pixels-for-training-free","title":"PaintSeg: Painting Pixels for Training-free Segmentation","date":"2023-09-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/melodyglm-multi-task-pre-training-for","slug":"melodyglm-multi-task-pre-training-for","title":"MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation","date":"2023-09-19","arxiv_id":"2309.10738","n_code_links":1,"syntology":null},{"paper":"/paper/reshader-view-dependent-highlights-for-single","slug":"reshader-view-dependent-highlights-for-single","title":"ReShader: View-Dependent Highlights for Single Image View-Synthesis","date":"2023-09-19","arxiv_id":"2309.10689","n_code_links":1,"syntology":null},{"paper":null,"slug":"gradpaint-gradient-guided-inpainting-with","title":"Gradpaint: Gradient-Guided Inpainting with Diffusion Models","date":"2023-09-18","arxiv_id":"2309.09614","n_code_links":0,"syntology":null},{"paper":null,"slug":"reconstructing-existing-levels-through-level","title":"Reconstructing Existing Levels through Level Inpainting","date":"2023-09-18","arxiv_id":"2309.09472","n_code_links":0,"syntology":null},{"paper":null,"slug":"regularised-diffusion-shock-inpainting","title":"Regularised Diffusion-Shock Inpainting","date":"2023-09-15","arxiv_id":"2309.08761","n_code_links":0,"syntology":null},{"paper":null,"slug":"gan-based-algorithm-for-efficient-image","title":"GAN-based Algorithm for Efficient Image Inpainting","date":"2023-09-13","arxiv_id":"2309.07293","n_code_links":0,"syntology":null},{"paper":"/paper/mpi-flow-learning-realistic-optical-flow-with","slug":"mpi-flow-learning-realistic-optical-flow-with","title":"MPI-Flow: Learning Realistic Optical Flow with Multiplane Images","date":"2023-09-13","arxiv_id":"2309.06714","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":["sharpiless/mpi-flow"],"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/learning-energy-based-models-by-cooperative","slug":"learning-energy-based-models-by-cooperative","title":"Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood","date":"2023-09-10","arxiv_id":"2309.05153","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: 2 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["alvinzhuyx/cdrl"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"maskrenderer-3d-infused-multi-mask-realistic","title":"MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactment","date":"2023-09-10","arxiv_id":"2309.05095","n_code_links":0,"syntology":null},{"paper":"/paper/propainter-improving-propagation-and","slug":"propainter-improving-propagation-and","title":"ProPainter: Improving Propagation and Transformer for Video Inpainting","date":"2023-09-07","arxiv_id":"2309.03897","n_code_links":3,"syntology":{"ran":20,"of":34,"n_ran_checked":12,"n_instrument":8,"unverified":14,"pointer_only":16,"phrase":"20 ran (of which 10 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 8 where Syntology's instrument failed) · 14 unverified","official":{"repos":["sczhou/propainter"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":5,"n_ran_no_instrument_failure":6,"n_unverified":6,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/learning-residual-elastic-warps-for-image","slug":"learning-residual-elastic-warps-for-image","title":"Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition","date":"2023-09-04","arxiv_id":"2309.01406","n_code_links":1,"syntology":null},{"paper":"/paper/ummaformer-a-universal-multimodal-adaptive-1","slug":"ummaformer-a-universal-multimodal-adaptive-1","title":"UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization","date":"2023-08-28","arxiv_id":"2308.14395","n_code_links":1,"syntology":null},{"paper":"/paper/hierarchical-contrastive-learning-for-pattern","slug":"hierarchical-contrastive-learning-for-pattern","title":"Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection","date":"2023-08-27","arxiv_id":"2308.14061","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":1,"n_instrument":4,"unverified":2,"pointer_only":0,"phrase":"5 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; 4 where Syntology's instrument failed) · 2 unverified","official":{"repos":["xyfjason/hcl"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"enhancing-perception-and-immersion-in-pre","title":"Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation","date":"2023-08-24","arxiv_id":"2308.13042","n_code_links":0,"syntology":null},{"paper":"/paper/poco-3d-pose-and-shape-estimation-with","slug":"poco-3d-pose-and-shape-estimation-with","title":"POCO: 3D Pose and Shape Estimation with Confidence","date":"2023-08-24","arxiv_id":"2308.12965","n_code_links":1,"syntology":null},{"paper":"/paper/desobav2-towards-large-scale-real-world","slug":"desobav2-towards-large-scale-real-world","title":"DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation","date":"2023-08-19","arxiv_id":"2308.09972","n_code_links":1,"syntology":null},{"paper":null,"slug":"dancing-avatar-pose-and-text-guided-human","title":"Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model","date":"2023-08-15","arxiv_id":"2308.07749","n_code_links":0,"syntology":null},{"paper":"/paper/geometry-of-the-visual-cortex-with","slug":"geometry-of-the-visual-cortex-with","title":"Geometry of the Visual Cortex with Applications to Image Inpainting and Enhancement","date":"2023-08-15","arxiv_id":"2308.07652","n_code_links":1,"syntology":null},{"paper":"/paper/monte-carlo-guided-diffusion-for-bayesian","slug":"monte-carlo-guided-diffusion-for-bayesian","title":"Monte Carlo guided Diffusion for Bayesian linear inverse problems","date":"2023-08-15","arxiv_id":"2308.07983","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":5,"n_instrument":0,"unverified":2,"pointer_only":7,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["gabrielvc/mcg_diff"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/taming-the-power-of-diffusion-models-for-high","slug":"taming-the-power-of-diffusion-models-for-high","title":"Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow","date":"2023-08-11","arxiv_id":"2308.06101","n_code_links":1,"syntology":{"ran":12,"of":13,"n_ran_checked":9,"n_instrument":3,"unverified":1,"pointer_only":2,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 3 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["bcmi/DCI-VTON-Virtual-Try-On"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"learning-unified-decompositional-and","title":"Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis","date":"2023-08-05","arxiv_id":"2308.02840","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffganpaint-fast-inpainting-using-denoising","title":"DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs","date":"2023-08-03","arxiv_id":"2311.11469","n_code_links":0,"syntology":null},{"paper":"/paper/synthesizing-long-term-human-motions-with","slug":"synthesizing-long-term-human-motions-with","title":"Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling","date":"2023-08-03","arxiv_id":"2308.01850","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":2,"n_instrument":5,"unverified":3,"pointer_only":4,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["yangzhao1230/pcmdm"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"imagebrush-learning-visual-in-context","title":"ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation","date":"2023-08-02","arxiv_id":"2308.00906","n_code_links":0,"syntology":null},{"paper":null,"slug":"seeing-behind-dynamic-occlusions-with-event","title":"Seeing Behind Dynamic Occlusions with Event Cameras","date":"2023-07-28","arxiv_id":"2307.15829","n_code_links":0,"syntology":null},{"paper":null,"slug":"diverse-inpainting-and-editing-with-gan","title":"Diverse Inpainting and Editing with GAN Inversion","date":"2023-07-27","arxiv_id":"2307.15033","n_code_links":0,"syntology":null},{"paper":null,"slug":"semantic-image-completion-and-enhancement-1","title":"Semantic Image Completion and Enhancement using GANs","date":"2023-07-27","arxiv_id":"2307.14748","n_code_links":0,"syntology":null},{"paper":"/paper/phenotype-preserving-metric-design-for-high","slug":"phenotype-preserving-metric-design-for-high","title":"Phenotype-preserving metric design for high-content image reconstruction by generative inpainting","date":"2023-07-26","arxiv_id":"2307.14436","n_code_links":1,"syntology":null},{"paper":null,"slug":"superinpaint-learning-detail-enhanced","title":"SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting","date":"2023-07-26","arxiv_id":"2307.14489","n_code_links":0,"syntology":null},{"paper":null,"slug":"rico-rotate-inpaint-complete-for","title":"RIC: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction","date":"2023-07-21","arxiv_id":"2307.11932","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-dense-uv-completion-for-human-mesh","title":"Learning Dense UV Completion for Human Mesh Recovery","date":"2023-07-20","arxiv_id":"2307.11074","n_code_links":0,"syntology":null},{"paper":null,"slug":"quaternion-tensor-ring-decomposition-and","title":"Quaternion tensor left ring decomposition and application for color image inpainting","date":"2023-07-20","arxiv_id":"2307.10620","n_code_links":0,"syntology":null},{"paper":null,"slug":"reference-based-painterly-inpainting-via","title":"Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap","date":"2023-07-20","arxiv_id":"2307.10584","n_code_links":0,"syntology":null},{"paper":"/paper/deficiency-aware-masked-transformer-for-video","slug":"deficiency-aware-masked-transformer-for-video","title":"Deficiency-Aware Masked Transformer for Video Inpainting","date":"2023-07-17","arxiv_id":"2307.08629","n_code_links":1,"syntology":null},{"paper":null,"slug":"both-spatial-and-frequency-cues-contribute-to","title":"Both Spatial and Frequency Cues Contribute to High-Fidelity Image Inpainting","date":"2023-07-15","arxiv_id":"2307.07678","n_code_links":0,"syntology":null},{"paper":"/paper/wavepaint-resource-efficient-token-mixer-for","slug":"wavepaint-resource-efficient-token-mixer-for","title":"WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting","date":"2023-07-01","arxiv_id":"2307.00407","n_code_links":1,"syntology":null},{"paper":"/paper/fuzzy-conditioned-diffusion-and-diffusion","slug":"fuzzy-conditioned-diffusion-and-diffusion","title":"Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction","date":"2023-06-26","arxiv_id":"2306.14891","n_code_links":1,"syntology":null},{"paper":"/paper/deep-image-prior-inpainting-of-ancient","slug":"deep-image-prior-inpainting-of-ancient","title":"Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc","date":"2023-06-25","arxiv_id":"2306.14209","n_code_links":1,"syntology":null},{"paper":"/paper/transref-multi-scale-reference-embedding","slug":"transref-multi-scale-reference-embedding","title":"TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting","date":"2023-06-20","arxiv_id":"2306.11528","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-new-low-rank-learning-robust-quaternion","title":"A New Low-Rank Learning Robust Quaternion Tensor Completion Method for Color Video Inpainting Problem and Fast Algorithms","date":"2023-06-16","arxiv_id":"2306.09652","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-in-diffusion-cyclic-one-way","slug":"diffusion-in-diffusion-cyclic-one-way","title":"Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation","date":"2023-06-14","arxiv_id":"2306.08247","n_code_links":1,"syntology":null},{"paper":null,"slug":"parametric-implicit-face-representation-for-1","title":"Parametric Implicit Face Representation for Audio-Driven Facial Reenactment","date":"2023-06-13","arxiv_id":"2306.07579","n_code_links":0,"syntology":null},{"paper":null,"slug":"paste-inpaint-and-harmonize-via-denoising","title":"Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model","date":"2023-06-13","arxiv_id":"2306.07596","n_code_links":0,"syntology":null},{"paper":"/paper/psstrnet-progressive-segmentation-guided","slug":"psstrnet-progressive-segmentation-guided","title":"PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network","date":"2023-06-13","arxiv_id":"2306.07842","n_code_links":1,"syntology":null},{"paper":"/paper/self-supervised-deep-hyperspectral-inpainting","slug":"self-supervised-deep-hyperspectral-inpainting","title":"Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations","date":"2023-06-13","arxiv_id":"2306.08128","n_code_links":1,"syntology":null},{"paper":null,"slug":"self-supervised-hyperspectral-inpainting-with","title":"Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior","date":"2023-06-12","arxiv_id":"2306.07308","n_code_links":0,"syntology":null},{"paper":"/paper/designing-a-better-asymmetric-vqgan-for","slug":"designing-a-better-asymmetric-vqgan-for","title":"Designing a Better Asymmetric VQGAN for StableDiffusion","date":"2023-06-07","arxiv_id":"2306.04632","n_code_links":2,"syntology":{"ran":8,"of":10,"n_ran_checked":5,"n_instrument":3,"unverified":2,"pointer_only":4,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 3 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["buxiangzhiren/asymmetric_vqgan"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/towards-interactive-image-inpainting-via","slug":"towards-interactive-image-inpainting-via","title":"Towards Interactive Image Inpainting via Sketch Refinement","date":"2023-06-01","arxiv_id":"2306.00407","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffusion-brush-a-latent-diffusion-model","title":"Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images","date":"2023-05-31","arxiv_id":"2306.00219","n_code_links":0,"syntology":null},{"paper":"/paper/ambient-diffusion-learning-clean","slug":"ambient-diffusion-learning-clean","title":"Ambient Diffusion: Learning Clean Distributions from Corrupted Data","date":"2023-05-30","arxiv_id":"2305.19256","n_code_links":2,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["giannisdaras/ambient-diffusion"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/paintseg-training-free-segmentation-via","slug":"paintseg-training-free-segmentation-via","title":"PaintSeg: Training-free Segmentation via Painting","date":"2023-05-30","arxiv_id":"2305.19406","n_code_links":1,"syntology":null},{"paper":null,"slug":"scene-restoration-from-scaffold-occlusion","title":"Scene restoration from scaffold occlusion using deep learning-based methods","date":"2023-05-30","arxiv_id":"2305.18810","n_code_links":0,"syntology":null},{"paper":null,"slug":"look-ma-no-hands-agent-environment","title":"Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos","date":"2023-05-25","arxiv_id":"2305.16301","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-based-audio-inpainting","slug":"diffusion-based-audio-inpainting","title":"Diffusion-Based Audio Inpainting","date":"2023-05-24","arxiv_id":"2305.15266","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":1,"n_instrument":3,"unverified":1,"pointer_only":0,"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":["eloimoliner/audio-inpainting-diffusion"],"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":"inpaintnerf360-text-guided-3d-inpainting-on","title":"InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields","date":"2023-05-24","arxiv_id":"2305.15094","n_code_links":0,"syntology":null},{"paper":null,"slug":"radiomap-inpainting-for-restricted-areas","title":"Radiomap Inpainting for Restricted Areas based on Propagation Priority and Depth Map","date":"2023-05-24","arxiv_id":"2305.15526","n_code_links":0,"syntology":null}],"record_sha256":"78c716e7bf645eda0a17c8213968cc0e8a10a584fc45e7d35a3456512012550e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}