{"total":468,"rows":[{"id":"2209.03003","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","created":"2022-09-07","cited_by_count":3700,"area":"diffusion"},{"id":"2208.12242","title":"DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation","created":"2022-08-25","cited_by_count":3300,"area":"diffusion"},{"id":"2201.09865","title":"RePaint: Inpainting using Denoising Diffusion Probabilistic Models","created":"2022-01-24","cited_by_count":1430,"area":"diffusion"},{"id":"2209.14687","title":"Diffusion Posterior Sampling for General Noisy Inverse Problems","created":"2022-09-29","cited_by_count":1416,"area":"diffusion"},{"id":"2210.09276","title":"Imagic: Text-Based Real Image Editing with Diffusion Models","created":"2022-10-17","cited_by_count":1178,"area":"diffusion"},{"id":"2212.04488","title":"Multi-Concept Customization of Text-to-Image Diffusion","created":"2022-12-08","cited_by_count":1106,"area":"diffusion"},{"id":"2209.04747","title":"Diffusion Models in Vision: A Survey","created":"2022-09-10","cited_by_count":1015,"area":"diffusion"},{"id":"2201.11793","title":"Denoising Diffusion Restoration Models","created":"2022-01-27","cited_by_count":963,"area":"diffusion"},{"id":"2202.09778","title":"Pseudo Numerical Methods for Diffusion Models on Manifolds","created":"2022-02-20","cited_by_count":700,"area":"diffusion"},{"id":"2210.11427","title":"DiffEdit: Diffusion-based semantic image editing with mask guidance","created":"2022-10-20","cited_by_count":647,"area":"diffusion"},{"id":"2110.02711","title":"DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation","created":"2021-10-06","cited_by_count":642,"area":"diffusion"},{"id":"2212.00490","title":"Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model","created":"2022-12-01","cited_by_count":583,"area":"diffusion"},{"id":"2302.08113","title":"MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation","created":"2023-02-16","cited_by_count":536,"area":"diffusion"},{"id":"2206.00941","title":"Improving Diffusion Models for Inverse Problems using Manifold Constraints","created":"2022-06-02","cited_by_count":508,"area":"diffusion"},{"id":"2209.12152","title":"All are Worth Words: A ViT Backbone for Diffusion Models","created":"2022-09-25","cited_by_count":502,"area":"diffusion"},{"id":"2305.07015","title":"Exploiting Diffusion Prior for Real-World Image Super-Resolution","created":"2023-05-11","cited_by_count":489,"area":"diffusion"},{"id":"2205.07460","title":"Diffusion Models for Adversarial Purification","created":"2022-05-16","cited_by_count":476,"area":"diffusion"},{"id":"2111.15640","title":"Diffusion Autoencoders: Toward a Meaningful and Decodable Representation","created":"2021-11-30","cited_by_count":449,"area":"diffusion"},{"id":"2212.02500","title":"PhysDiff: Physics-Guided Human Motion Diffusion Model","created":"2022-12-05","cited_by_count":368,"area":"diffusion"},{"id":"2307.12348","title":"ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting","created":"2023-07-23","cited_by_count":365,"area":"diffusion"},{"id":"2312.00858","title":"DeepCache: Accelerating Diffusion Models for Free","created":"2023-12-01","cited_by_count":359,"area":"diffusion"},{"id":"2303.01418","title":"Human Motion Diffusion as a Generative Prior","created":"2023-03-02","cited_by_count":357,"area":"diffusion"},{"id":"2305.08995","title":"Denoising Diffusion Models for Plug-and-Play Image Restoration","created":"2023-05-15","cited_by_count":340,"area":"diffusion"},{"id":"2201.06503","title":"Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models","created":"2022-01-17","cited_by_count":334,"area":"diffusion"},{"id":"2210.10960","title":"Diffusion Models already have a Semantic Latent Space","created":"2022-10-20","cited_by_count":328,"area":"diffusion"},{"id":"2303.12688","title":"Pix2Video: Video Editing using Image Diffusion","created":"2023-03-22","cited_by_count":320,"area":"diffusion"},{"id":"2110.05243","title":"Score-based diffusion models for accelerated MRI","created":"2021-10-08","cited_by_count":311,"area":"diffusion"},{"id":"2112.05146","title":"Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction","created":"2021-12-09","cited_by_count":307,"area":"diffusion"},{"id":"2204.00227","title":"Perception Prioritized Training of Diffusion Models","created":"2022-04-01","cited_by_count":303,"area":"diffusion"},{"id":"2303.09833","title":"FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model","created":"2023-03-17","cited_by_count":294,"area":"diffusion"},{"id":"2211.13203","title":"Inversion-Based Style Transfer with Diffusion Models","created":"2022-11-23","cited_by_count":291,"area":"diffusion"},{"id":"2307.10816","title":"BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion","created":"2023-07-20","cited_by_count":282,"area":"diffusion"},{"id":"2112.00390","title":"SegDiff: Image Segmentation with Diffusion Probabilistic Models","created":"2021-12-01","cited_by_count":280,"area":"diffusion"},{"id":"2209.02646","title":"A Survey on Generative Diffusion Model","created":"2022-09-06","cited_by_count":240,"area":"diffusion"},{"id":"2311.14760","title":"SinSR: Diffusion-Based Image Super-Resolution in a Single Step","created":"2023-11-23","cited_by_count":238,"area":"diffusion"},{"id":"2203.04306","title":"Diffusion Models for Medical Anomaly Detection","created":"2022-03-08","cited_by_count":232,"area":"diffusion"},{"id":"2206.09012","title":"Diffusion models as plug-and-play priors","created":"2022-06-17","cited_by_count":231,"area":"diffusion"},{"id":"2205.07680","title":"BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models","created":"2022-05-16","cited_by_count":225,"area":"diffusion"},{"id":"2305.12577","title":"Guided Motion Diffusion for Controllable Human Motion Synthesis","created":"2023-05-21","cited_by_count":223,"area":"diffusion"},{"id":"2305.04391","title":"A Variational Perspective on Solving Inverse Problems with Diffusion Models","created":"2023-05-07","cited_by_count":222,"area":"diffusion"},{"id":"2207.14626","title":"Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models","created":"2022-07-29","cited_by_count":215,"area":"diffusion"},{"id":"2203.08382","title":"Dual Diffusion Implicit Bridges for Image-to-Image Translation","created":"2022-03-16","cited_by_count":213,"area":"diffusion"},{"id":"2112.05744","title":"More Control for Free! Image Synthesis with Semantic Diffusion Guidance","created":"2021-12-10","cited_by_count":212,"area":"diffusion"},{"id":"2402.17525","title":"Diffusion Model-Based Image Editing: A Survey","created":"2024-02-27","cited_by_count":212,"area":"diffusion"},{"id":"2306.07280","title":"Controlling Text-to-Image Diffusion by Orthogonal Finetuning","created":"2023-06-12","cited_by_count":208,"area":"diffusion"},{"id":"2310.10647","title":"A Survey on Video Diffusion Models","created":"2023-10-16","cited_by_count":206,"area":"diffusion"},{"id":"2112.03145","title":"Diffusion Models for Implicit Image Segmentation Ensembles","created":"2021-12-06","cited_by_count":198,"area":"diffusion"},{"id":"2309.11497","title":"FreeU: Free Lunch in Diffusion U-Net","created":"2023-09-20","cited_by_count":196,"area":"diffusion"},{"id":"2308.09592","title":"StableVideo: Text-driven Consistency-aware Diffusion Video Editing","created":"2023-08-18","cited_by_count":183,"area":"diffusion"},{"id":"2211.13752","title":"Sketch-Guided Text-to-Image Diffusion Models","created":"2022-11-24","cited_by_count":180,"area":"diffusion"},{"id":"2410.00083","title":"A Survey on Diffusion Models for Inverse Problems","created":"2024-09-30","cited_by_count":180,"area":"diffusion"},{"id":"2207.06635","title":"EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations","created":"2022-07-14","cited_by_count":172,"area":"diffusion"},{"id":"2308.12964","title":"Dense Text-to-Image Generation with Attention Modulation","created":"2023-08-24","cited_by_count":163,"area":"diffusion"},{"id":"2212.04489","title":"SINE: SINgle Image Editing with Text-to-Image Diffusion Models","created":"2022-12-08","cited_by_count":159,"area":"diffusion"},{"id":"2307.00619","title":"Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models","created":"2023-07-02","cited_by_count":157,"area":"diffusion"},{"id":"2311.16424","title":"Manifold Preserving Guided Diffusion","created":"2023-11-28","cited_by_count":157,"area":"diffusion"},{"id":"2308.07863","title":"StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models","created":"2023-08-15","cited_by_count":155,"area":"diffusion"},{"id":"2303.11306","title":"Localizing Object-level Shape Variations with Text-to-Image Diffusion Models","created":"2023-03-20","cited_by_count":142,"area":"diffusion"},{"id":"2207.00050","title":"Semantic Image Synthesis via Diffusion Models","created":"2022-06-30","cited_by_count":132,"area":"diffusion"},{"id":"2211.10655","title":"Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models","created":"2022-11-19","cited_by_count":132,"area":"diffusion"},{"id":"2312.06640","title":"Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution","created":"2023-12-11","cited_by_count":132,"area":"diffusion"},{"id":"2210.05475","title":"GENIE: Higher-Order Denoising Diffusion Solvers","created":"2022-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2304.11751","title":"Score-Based Diffusion Models as Principled Priors for Inverse Imaging","created":"2023-04-23","cited_by_count":127,"area":"diffusion"},{"id":"2307.12868","title":"Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry","created":"2023-07-24","cited_by_count":125,"area":"diffusion"},{"id":"2308.06101","title":"Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow","created":"2023-08-11","cited_by_count":124,"area":"diffusion"},{"id":"2402.14017","title":"D-Flow: Differentiating through Flows for Controlled Generation","created":"2024-02-21","cited_by_count":122,"area":"diffusion"},{"id":"2406.10126","title":"Training-free Camera Control for Video Generation","created":"2024-06-14","cited_by_count":122,"area":"diffusion"},{"id":"2211.10656","title":"Parallel Diffusion Models of Operator and Image for Blind Inverse Problems","created":"2022-11-19","cited_by_count":113,"area":"diffusion"},{"id":"2306.11719","title":"Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision","created":"2023-06-20","cited_by_count":112,"area":"diffusion"},{"id":"2308.09388","title":"Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey","created":"2023-08-18","cited_by_count":109,"area":"diffusion"},{"id":"2312.04965","title":"Inversion-Free Image Editing with Natural Language","created":"2023-12-07","cited_by_count":106,"area":"diffusion"},{"id":"2201.00308","title":"DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents","created":"2022-01-02","cited_by_count":104,"area":"diffusion"},{"id":"2303.17076","title":"DiffCollage: Parallel Generation of Large Content with Diffusion Models","created":"2023-03-30","cited_by_count":103,"area":"diffusion"},{"id":"2305.13311","title":"VDT: General-purpose Video Diffusion Transformers via Mask Modeling","created":"2023-05-22","cited_by_count":103,"area":"diffusion"},{"id":"2308.15321","title":"Elucidating the Exposure Bias in Diffusion Models","created":"2023-08-29","cited_by_count":101,"area":"diffusion"},{"id":"2411.03286","title":"DiT4Edit: Diffusion Transformer for Image Editing","created":"2024-11-05","cited_by_count":101,"area":"diffusion"},{"id":"2305.04441","title":"Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models","created":"2023-05-08","cited_by_count":99,"area":"diffusion"},{"id":"2312.11994","title":"Optimizing Diffusion Noise Can Serve As Universal Motion Priors","created":"2023-12-19","cited_by_count":98,"area":"diffusion"},{"id":"2212.06512","title":"DifFace: Blind Face Restoration with Diffused Error Contraction","created":"2022-12-13","cited_by_count":97,"area":"diffusion"},{"id":"2405.18782","title":"Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors","created":"2024-05-29","cited_by_count":97,"area":"diffusion"},{"id":"2410.02423","title":"PnP-Flow: Plug-and-Play Image Restoration with Flow Matching","created":"2024-10-03","cited_by_count":97,"area":"diffusion"},{"id":"2304.04745","title":"Ambiguous Medical Image Segmentation using Diffusion Models","created":"2023-04-10","cited_by_count":92,"area":"diffusion"},{"id":"2303.05762","title":"TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets","created":"2023-03-10","cited_by_count":88,"area":"diffusion"},{"id":"2304.08291","title":"Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models","created":"2023-04-17","cited_by_count":86,"area":"diffusion"},{"id":"2206.07309","title":"Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models","created":"2022-06-15","cited_by_count":83,"area":"diffusion"},{"id":"2304.00830","title":"AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models","created":"2023-04-03","cited_by_count":83,"area":"diffusion"},{"id":"2203.15636","title":"Diffusion Models for Counterfactual Explanations","created":"2022-03-29","cited_by_count":79,"area":"diffusion"},{"id":"2212.00235","title":"VIDM: Video Implicit Diffusion Models","created":"2022-12-01","cited_by_count":78,"area":"diffusion"},{"id":"2306.05043","title":"Non-autoregressive Conditional Diffusion Models for Time Series Prediction","created":"2023-06-08","cited_by_count":78,"area":"diffusion"},{"id":"2212.13344","title":"DiffFace: Diffusion-based Face Swapping with Facial Guidance","created":"2022-12-27","cited_by_count":77,"area":"diffusion"},{"id":"2312.06354","title":"PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization","created":"2023-12-11","cited_by_count":77,"area":"diffusion"},{"id":"2309.15664","title":"Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing","created":"2023-09-27","cited_by_count":76,"area":"diffusion"},{"id":"2211.12340","title":"DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction","created":"2022-11-22","cited_by_count":74,"area":"diffusion"},{"id":"2309.00398","title":"VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation","created":"2023-09-01","cited_by_count":74,"area":"diffusion"},{"id":"2406.11138","title":"Diffusion Models in Low-Level Vision: A Survey","created":"2024-06-17","cited_by_count":74,"area":"diffusion"},{"id":"2305.15583","title":"Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps","created":"2023-05-24","cited_by_count":73,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2310.04432","title":"Training-free Linear Image Inverses via Flows","created":"2023-09-25","cited_by_count":72,"area":"diffusion"},{"id":"2402.03201","title":"Guidance with Spherical Gaussian Constraint for Conditional Diffusion","created":"2024-02-05","cited_by_count":71,"area":"diffusion"},{"id":"2309.05793","title":"PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models","created":"2023-09-11","cited_by_count":70,"area":"diffusion"}],"next_cursor":"100"}