{"total":24,"rows":[{"id":"2112.02475","title":"Deblurring via Stochastic Refinement","created":"2021-12-05","cited_by_count":249,"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":"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":"2502.01189","title":"Compressed Image Generation with Denoising Diffusion Codebook Models","created":"2025-02-03","cited_by_count":28,"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":"2502.03500","title":"Efficient Image Restoration via Latent Consistency Flow Matching","created":"2025-02-05","cited_by_count":8,"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":"2601.22107","title":"Prior-Informed Flow Matching for Graph Reconstruction","created":"2026-01-29","cited_by_count":4,"area":"diffusion"},{"id":"2503.14654","title":"A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising","created":"2025-03-18","cited_by_count":1,"area":"diffusion"},{"id":"2508.03254","title":"V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models","created":"2025-08-05","cited_by_count":1,"area":"diffusion"},{"id":"2601.18932","title":"Advances in Diffusion-Based Generative Compression","created":"2026-01-26","cited_by_count":1,"area":"diffusion"},{"id":"2602.07715","title":"Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models","created":"2026-02-07","cited_by_count":1,"area":"diffusion"},{"id":"2608.10544","title":"Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image Restoration","created":"2026-08-11","cited_by_count":1,"area":"diffusion"},{"id":"2502.13574","title":"RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior","created":"2025-02-19","cited_by_count":0,"area":"diffusion"},{"id":"2503.08546","title":"End-to-End PET Image Reconstruction via a Posterior-Mean Diffusion Model","created":"2025-03-11","cited_by_count":0,"area":"diffusion"},{"id":"2507.00447","title":"Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration","created":"2025-07-01","cited_by_count":0,"area":"diffusion"},{"id":"2510.02208","title":"MACS: Measurement-Aware Consistency Sampling for Inverse Problems","created":"2025-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2603.04005","title":"Training-Free Rate-Distortion-Perception Traversal With Diffusion","created":"2026-03-04","cited_by_count":0,"area":"diffusion"},{"id":"2605.28711","title":"Stage-wise Distortion-Perception Traversal in Zero-shot Inverse Problems with Diffusion Models","created":"2026-05-27","cited_by_count":0,"area":"diffusion"},{"id":"2609.03956","title":"RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting","created":"2026-09-03","cited_by_count":0,"area":"diffusion"},{"id":"2609.12953","title":"Fast and Faithful: Principled Conditional Flow Matching for Inverse Problems","created":"2026-09-11","cited_by_count":0,"area":"diffusion"},{"id":"2609.32980","title":"Feasible Flow Matching for Graph Reconstruction via Within-Sampling Primal-Dual Guidance","created":"2026-09-26","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}