{"total":199,"rows":[{"id":"2209.14687","title":"Diffusion Posterior Sampling for General Noisy Inverse Problems","created":"2022-09-29","cited_by_count":1416,"area":"diffusion"},{"id":"2201.11793","title":"Denoising Diffusion Restoration Models","created":"2022-01-27","cited_by_count":963,"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":"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":"2112.02475","title":"Deblurring via Stochastic Refinement","created":"2021-12-05","cited_by_count":249,"area":"diffusion"},{"id":"2203.09481","title":"Diffusion Probabilistic Modeling for Video Generation","created":"2022-03-16","cited_by_count":238,"area":"diffusion"},{"id":"2302.04222","title":"Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models","created":"2023-02-08","cited_by_count":205,"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":"2303.11435","title":"Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration","created":"2023-03-20","cited_by_count":165,"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":"2310.10123","title":"AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion","created":"2023-10-16","cited_by_count":100,"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":"2412.03017","title":"Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach","created":"2024-12-04","cited_by_count":97,"area":"diffusion"},{"id":"2206.08889","title":"Lossy Compression with Gaussian Diffusion","created":"2022-06-17","cited_by_count":90,"area":"diffusion"},{"id":"2411.18263","title":"TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution","created":"2024-11-27","cited_by_count":87,"area":"diffusion"},{"id":"2212.01789","title":"Multiscale Structure Guided Diffusion for Image Deblurring","created":"2022-12-04","cited_by_count":77,"area":"diffusion"},{"id":"2310.01110","title":"Prompt-tuning latent diffusion models for inverse problems","created":"2023-10-02","cited_by_count":70,"area":"diffusion"},{"id":"2305.19809","title":"Direct Diffusion Bridge using Data Consistency for Inverse Problems","created":"2023-05-31","cited_by_count":66,"area":"diffusion"},{"id":"2404.01717","title":"AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation","created":"2024-04-02","cited_by_count":66,"area":"diffusion"},{"id":"2403.07319","title":"Efficient Diffusion Model for Image Restoration by Residual Shifting","created":"2024-03-12","cited_by_count":64,"area":"diffusion"},{"id":"2405.13712","title":"Learning Diffusion Priors from Observations by Expectation Maximization","created":"2024-05-22","cited_by_count":61,"area":"diffusion"},{"id":"2211.12343","title":"Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems","created":"2022-11-20","cited_by_count":60,"area":"diffusion"},{"id":"2501.02976","title":"STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution","created":"2025-01-06","cited_by_count":56,"area":"diffusion"},{"id":"2305.18231","title":"High-Fidelity Image Compression with Score-based Generative Models","created":"2023-05-26","cited_by_count":54,"area":"diffusion"},{"id":"2405.18816","title":"Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching","created":"2024-05-29","cited_by_count":53,"area":"diffusion"},{"id":"2503.23580","title":"DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution","created":"2025-03-30","cited_by_count":53,"area":"diffusion"},{"id":"2506.05301","title":"SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training","created":"2025-06-05","cited_by_count":50,"area":"diffusion"},{"id":"2406.01781","title":"DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform","created":"2024-06-03","cited_by_count":46,"area":"diffusion"},{"id":"2312.16519","title":"Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance","created":"2023-12-27","cited_by_count":43,"area":"diffusion"},{"id":"2305.03892","title":"DocDiff: Document Enhancement via Residual Diffusion Models","created":"2023-05-06","cited_by_count":37,"area":"diffusion"},{"id":"2406.05551","title":"Autoregressive Diffusion Transformer for Text-to-Speech Synthesis","created":"2024-06-08","cited_by_count":34,"area":"diffusion"},{"id":"2410.00418","title":"Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration","created":"2024-10-01","cited_by_count":34,"area":"diffusion"},{"id":"2506.21977","title":"StableCodec: Taming One-Step Diffusion for Extreme Image Compression","created":"2025-06-27","cited_by_count":33,"area":"diffusion"},{"id":"2505.23145","title":"FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing","created":"2025-05-29","cited_by_count":32,"area":"diffusion"},{"id":"2502.01189","title":"Compressed Image Generation with Denoising Diffusion Codebook Models","created":"2025-02-03","cited_by_count":28,"area":"diffusion"},{"id":"2403.10255","title":"Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder","created":"2024-03-15","cited_by_count":25,"area":"diffusion"},{"id":"2312.11595","title":"SPIRE: Semantic Prompt-Driven Image Restoration","created":"2023-12-18","cited_by_count":24,"area":"diffusion"},{"id":"2211.08428","title":"CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming","created":"2022-11-15","cited_by_count":23,"area":"diffusion"},{"id":"2508.17689","title":"On the Edge of Memorization in Diffusion Models","created":"2025-08-25","cited_by_count":22,"area":"diffusion"},{"id":"2302.12831","title":"CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution","created":"2023-02-14","cited_by_count":21,"area":"diffusion"},{"id":"2212.03221","title":"ADIR: Adaptive Diffusion for Image Reconstruction","created":"2022-12-06","cited_by_count":20,"area":"diffusion"},{"id":"2312.06071","title":"Precipitation Downscaling with Spatiotemporal Video Diffusion","created":"2023-12-11","cited_by_count":19,"area":"diffusion"},{"id":"2501.11746","title":"SILO: Solving Inverse Problems with Latent Operators","created":"2025-01-20","cited_by_count":19,"area":"diffusion"},{"id":"2307.00781","title":"ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution","created":"2023-07-03","cited_by_count":18,"area":"diffusion"},{"id":"2311.15908","title":"Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models","created":"2023-11-27","cited_by_count":18,"area":"diffusion"},{"id":"2403.18035","title":"Bidirectional Consistency Models","created":"2024-03-26","cited_by_count":18,"area":"diffusion"},{"id":"2307.03992","title":"Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling","created":"2023-07-08","cited_by_count":17,"area":"diffusion"},{"id":"2506.02680","title":"Solving Inverse Problems with FLAIR","created":"2025-06-03","cited_by_count":17,"area":"diffusion"},{"id":"2508.01975","title":"Diffusion models for inverse problems","created":"2025-08-04","cited_by_count":16,"area":"diffusion"},{"id":"2211.06757","title":"DriftRec: Adapting diffusion models to blind JPEG restoration","created":"2022-11-12","cited_by_count":15,"area":"diffusion"},{"id":"2303.14353","title":"DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency","created":"2023-03-25","cited_by_count":15,"area":"diffusion"},{"id":"2503.01485","title":"FlowDec: A flow-based full-band general audio codec with high perceptual quality","created":"2025-03-03","cited_by_count":15,"area":"diffusion"},{"id":"2508.08227","title":"OMGSR: You Only Need One Mid-timestep Guidance for Real-World Image Super-Resolution","created":"2025-08-11","cited_by_count":15,"area":"diffusion"},{"id":"2302.05290","title":"Removing Structured Noise with Diffusion Models","created":"2023-01-20","cited_by_count":14,"area":"diffusion"},{"id":"2402.16907","title":"Diffusion Posterior Proximal Sampling for Image Restoration","created":"2024-02-25","cited_by_count":14,"area":"diffusion"},{"id":"2505.19958","title":"UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space","created":"2025-05-26","cited_by_count":14,"area":"diffusion"},{"id":"2603.14366","title":"Representation Alignment for Just Image Transformers is not Easier than You Think","created":"2026-03-15","cited_by_count":14,"area":"diffusion"},{"id":"2211.00199","title":"Accelerated Motion Correction with Deep Generative Diffusion Models","created":"2022-11-01","cited_by_count":12,"area":"diffusion"},{"id":"2312.00210","title":"DREAM: Diffusion Rectification and Estimation-Adaptive Models","created":"2023-11-30","cited_by_count":12,"area":"diffusion"},{"id":"2503.23717","title":"Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space","created":"2025-03-31","cited_by_count":12,"area":"diffusion"},{"id":"2404.17736","title":"Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission","created":"2024-04-27","cited_by_count":11,"area":"diffusion"},{"id":"2501.10110","title":"DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations","created":"2025-01-17","cited_by_count":11,"area":"diffusion"},{"id":"2505.05853","title":"PICD: Versatile Perceptual Image Compression with Diffusion Rendering","created":"2025-05-09","cited_by_count":11,"area":"diffusion"},{"id":"2403.02957","title":"On the Asymptotic Mean Square Error Optimality of Diffusion Models","created":"2024-03-05","cited_by_count":10,"area":"diffusion"},{"id":"2504.01689","title":"InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems","created":"2025-04-02","cited_by_count":10,"area":"diffusion"},{"id":"2508.14483","title":"Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration","created":"2025-08-20","cited_by_count":10,"area":"diffusion"},{"id":"2309.06642","title":"Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models","created":"2023-09-12","cited_by_count":9,"area":"diffusion"},{"id":"2404.05669","title":"NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement","created":"2024-04-08","cited_by_count":9,"area":"diffusion"},{"id":"2505.13358","title":"One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling","created":"2025-05-19","cited_by_count":9,"area":"diffusion"},{"id":"2306.16052","title":"SVNR: Spatially-variant Noise Removal with Denoising Diffusion","created":"2023-06-28","cited_by_count":8,"area":"diffusion"},{"id":"2403.12063","title":"Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers","created":"2024-02-09","cited_by_count":8,"area":"diffusion"},{"id":"2411.18662","title":"HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior","created":"2024-11-27","cited_by_count":8,"area":"diffusion"},{"id":"2502.03500","title":"Efficient Image Restoration via Latent Consistency Flow Matching","created":"2025-02-05","cited_by_count":8,"area":"diffusion"},{"id":"2505.02048","title":"Regression is all you need for medical image translation","created":"2025-05-04","cited_by_count":8,"area":"diffusion"},{"id":"2505.20789","title":"Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models","created":"2025-05-27","cited_by_count":7,"area":"diffusion"},{"id":"2512.23709","title":"Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion","created":"2025-12-29","cited_by_count":7,"area":"diffusion"},{"id":"2309.10714","title":"Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising","created":"2023-09-19","cited_by_count":6,"area":"diffusion"},{"id":"2410.06149","title":"Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach","created":"2024-10-08","cited_by_count":6,"area":"diffusion"},{"id":"2512.05672","title":"InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem","created":"2025-12-05","cited_by_count":6,"area":"diffusion"},{"id":"2310.20092","title":"The Missing U for Efficient Diffusion Models","created":"2023-10-31","cited_by_count":5,"area":"diffusion"},{"id":"2402.08159","title":"PFCM: Poisson flow consistency models for low-dose CT image denoising","created":"2024-02-13","cited_by_count":5,"area":"diffusion"},{"id":"2411.02334","title":"Communicate Less, Synthesize the Rest: Latency-aware Intent-based Generative Semantic Multicasting with Diffusion Models","created":"2024-11-04","cited_by_count":5,"area":"diffusion"},{"id":"2412.16552","title":"Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution","created":"2024-12-21","cited_by_count":5,"area":"diffusion"},{"id":"2502.07160","title":"HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates","created":"2025-02-11","cited_by_count":5,"area":"diffusion"},{"id":"2503.01288","title":"Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual","created":"2025-03-03","cited_by_count":5,"area":"diffusion"},{"id":"2503.20297","title":"Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model","created":"2025-03-26","cited_by_count":5,"area":"diffusion"},{"id":"2507.05604","title":"Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration","created":"2025-07-08","cited_by_count":5,"area":"diffusion"},{"id":"2603.13162","title":"DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression","created":"2026-03-13","cited_by_count":5,"area":"diffusion"},{"id":"2608.03316","title":"Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space Bridging","created":"2026-08-04","cited_by_count":5,"area":"diffusion"},{"id":"2303.09642","title":"SUD$^2$: Supervision by Denoising Diffusion Models for Image Reconstruction","created":"2023-03-16","cited_by_count":4,"area":"diffusion"},{"id":"2505.22977","title":"HyperMotionX: The Dataset and Benchmark with DiT-Based Pose-Guided Human Image Animation of Complex Motions","created":"2025-05-29","cited_by_count":4,"area":"diffusion"},{"id":"2510.01641","title":"FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring","created":"2025-10-02","cited_by_count":4,"area":"diffusion"},{"id":"2601.22107","title":"Prior-Informed Flow Matching for Graph Reconstruction","created":"2026-01-29","cited_by_count":4,"area":"diffusion"},{"id":"2602.11910","title":"TADA! Tuning Audio Diffusion Models through Activation Steering","created":"2026-02-12","cited_by_count":4,"area":"diffusion"},{"id":"2212.03235","title":"Complex-valued Retrievals From Noisy Images Using Diffusion Models","created":"2022-12-06","cited_by_count":3,"area":"diffusion"},{"id":"2403.19428","title":"Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality","created":"2024-03-28","cited_by_count":3,"area":"diffusion"},{"id":"2406.09389","title":"Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior","created":"2024-06-13","cited_by_count":3,"area":"diffusion"},{"id":"2502.20679","title":"Diffusion Restoration Adapter for Real-World Image Restoration","created":"2025-02-28","cited_by_count":3,"area":"diffusion"},{"id":"2503.13358","title":"One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation","created":"2025-03-17","cited_by_count":3,"area":"diffusion"},{"id":"2503.19452","title":"SparseGS-W: Sparse-View 3D Gaussian Splatting in the Wild with Generative Priors","created":"2025-03-25","cited_by_count":3,"area":"diffusion"}],"next_cursor":"100"}