{"total":113,"rows":[{"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":"2410.00083","title":"A Survey on Diffusion Models for Inverse Problems","created":"2024-09-30","cited_by_count":180,"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":"2310.04432","title":"Training-free Linear Image Inverses via Flows","created":"2023-09-25","cited_by_count":72,"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":"2308.13712","title":"Residual Denoising Diffusion Models","created":"2023-08-25","cited_by_count":69,"area":"diffusion"},{"id":"2405.16749","title":"DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models","created":"2024-05-27","cited_by_count":61,"area":"diffusion"},{"id":"2301.12686","title":"GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration","created":"2023-01-30","cited_by_count":59,"area":"diffusion"},{"id":"2303.08440","title":"Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models","created":"2023-03-15","cited_by_count":53,"area":"diffusion"},{"id":"2410.03601","title":"How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework","created":"2024-10-04","cited_by_count":48,"area":"diffusion"},{"id":"2305.13819","title":"WaveDM: Wavelet-Based Diffusion Models for Image Restoration","created":"2023-05-23","cited_by_count":47,"area":"diffusion"},{"id":"2502.00234","title":"Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms","created":"2025-02-01","cited_by_count":47,"area":"diffusion"},{"id":"2405.15986","title":"Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity","created":"2024-05-24","cited_by_count":42,"area":"diffusion"},{"id":"2312.10299","title":"Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge","created":"2023-12-16","cited_by_count":41,"area":"diffusion"},{"id":"2412.00100","title":"Steering Rectified Flow Models in the Vector Field for Controlled Image Generation","created":"2024-11-27","cited_by_count":39,"area":"diffusion"},{"id":"2309.00287","title":"Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution","created":"2023-09-01","cited_by_count":36,"area":"diffusion"},{"id":"2311.15658","title":"Regularization by Texts for Latent Diffusion Inverse Solvers","created":"2023-11-27","cited_by_count":32,"area":"diffusion"},{"id":"2405.19572","title":"Blind Image Restoration via Fast Diffusion Inversion","created":"2024-05-29","cited_by_count":30,"area":"diffusion"},{"id":"2409.18523","title":"Token Caching for Diffusion Transformer Acceleration","created":"2024-09-27","cited_by_count":30,"area":"diffusion"},{"id":"2409.19365","title":"Conditional Image Synthesis with Diffusion Models: A Survey","created":"2024-09-28","cited_by_count":29,"area":"diffusion"},{"id":"2307.10603","title":"Physics-Driven Turbulence Image Restoration with Stochastic Refinement","created":"2023-07-20","cited_by_count":24,"area":null},{"id":"2410.04479","title":"SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems","created":"2024-10-06","cited_by_count":24,"area":"diffusion"},{"id":"2303.13006","title":"Controllable Inversion of Black-Box Face Recognition Models via Diffusion","created":"2023-03-23","cited_by_count":22,"area":"diffusion"},{"id":"2305.16965","title":"Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling","created":"2023-05-26","cited_by_count":21,"area":"diffusion"},{"id":"2306.01433","title":"Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach","created":"2023-06-02","cited_by_count":21,"area":null},{"id":"2409.20175","title":"Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems","created":"2024-09-30","cited_by_count":19,"area":"diffusion"},{"id":"2508.01975","title":"Diffusion models for inverse problems","created":"2025-08-04","cited_by_count":16,"area":"diffusion"},{"id":"2510.23116","title":"Residual Diffusion Bridge Model for Image Restoration","created":"2025-10-27","cited_by_count":15,"area":null},{"id":"2403.14837","title":"Osmosis: RGBD Diffusion Prior for Underwater Image Restoration","created":"2024-03-21","cited_by_count":13,"area":"diffusion"},{"id":"2407.08256","title":"Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling","created":"2024-07-11","cited_by_count":13,"area":null},{"id":"2403.18636","title":"A Diffusion-Based Generative Equalizer for Music Restoration","created":"2024-03-27","cited_by_count":12,"area":"diffusion"},{"id":"2312.04529","title":"Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance","created":"2023-12-07","cited_by_count":11,"area":null},{"id":"2408.07472","title":"Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models","created":"2024-08-14","cited_by_count":11,"area":"diffusion"},{"id":"2503.01075","title":"Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS","created":"2025-03-03","cited_by_count":11,"area":"diffusion"},{"id":"2407.01027","title":"Blind Inversion using Latent Diffusion Priors","created":"2024-07-01","cited_by_count":10,"area":"diffusion"},{"id":"2407.16214","title":"Diff-Shadow: Global-guided Diffusion Model for Shadow Removal","created":"2024-07-23","cited_by_count":10,"area":"diffusion"},{"id":"2409.14587","title":"Deep Learning Techniques for Atmospheric Turbulence Removal: A Review","created":"2024-09-03","cited_by_count":10,"area":null},{"id":"2306.12286","title":"Diffusion Posterior Sampling for Informed Single-Channel Dereverberation","created":"2023-06-21","cited_by_count":9,"area":"diffusion"},{"id":"2405.04272","title":"BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models","created":"2024-05-07","cited_by_count":9,"area":"diffusion"},{"id":"2406.03711","title":"Pi-fusion: Physics-informed diffusion model for learning fluid dynamics","created":"2024-06-06","cited_by_count":9,"area":"diffusion"},{"id":"2502.02215","title":"InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration","created":"2025-02-04","cited_by_count":9,"area":"diffusion"},{"id":"2305.12672","title":"Block Coordinate Plug-and-Play Methods for Blind Inverse Problems","created":"2023-05-22","cited_by_count":8,"area":null},{"id":"2307.12070","title":"Fast and Stable Diffusion Inverse Solver with History Gradient Update","created":"2023-07-22","cited_by_count":8,"area":"diffusion"},{"id":"2310.12609","title":"Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning","created":"2023-10-19","cited_by_count":8,"area":"diffusion"},{"id":"2502.05908","title":"Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo","created":"2025-02-09","cited_by_count":7,"area":"diffusion"},{"id":"2505.05657","title":"ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior","created":"2025-05-08","cited_by_count":7,"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":"2305.05014","title":"Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion","created":"2023-05-08","cited_by_count":6,"area":null},{"id":"2310.00362","title":"Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering","created":"2023-09-30","cited_by_count":6,"area":null},{"id":"2407.20855","title":"DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers","created":"2024-07-30","cited_by_count":6,"area":null},{"id":"2409.04384","title":"Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior","created":"2024-09-06","cited_by_count":6,"area":"diffusion"},{"id":"2309.14709","title":"Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement","created":"2023-09-26","cited_by_count":5,"area":"diffusion"},{"id":"2403.10211","title":"BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution","created":"2024-03-15","cited_by_count":5,"area":"diffusion"},{"id":"2504.07696","title":"Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging","created":"2025-04-10","cited_by_count":5,"area":null},{"id":"2504.21487","title":"DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration","created":"2025-04-30","cited_by_count":5,"area":"diffusion"},{"id":"2506.14605","title":"Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching","created":"2025-06-17","cited_by_count":5,"area":null},{"id":"2408.11287","title":"Taming Generative Diffusion Prior for Universal Blind Image Restoration","created":"2024-08-21","cited_by_count":4,"area":"diffusion"},{"id":"2410.08631","title":"CryoFM: A Flow-based Foundation Model for Cryo-EM Densities","created":"2024-10-11","cited_by_count":4,"area":null},{"id":"2410.14710","title":"G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving","created":"2024-10-09","cited_by_count":4,"area":"diffusion"},{"id":"2411.11135","title":"Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method","created":"2024-11-17","cited_by_count":4,"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":"2501.14014","title":"INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration","created":"2025-01-23","cited_by_count":3,"area":"diffusion"},{"id":"2503.03355","title":"Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment","created":"2025-03-05","cited_by_count":3,"area":"diffusion"},{"id":"2503.21410","title":"Diffusion Image Prior","created":"2025-03-27","cited_by_count":3,"area":"diffusion"},{"id":"2410.04618","title":"Towards Unsupervised Blind Face Restoration using Diffusion Prior","created":"2024-10-06","cited_by_count":2,"area":"diffusion"},{"id":"2503.19340","title":"BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction","created":"2025-03-25","cited_by_count":2,"area":"diffusion"},{"id":"2505.21135","title":"Learning Single Index Models with Diffusion Priors","created":"2025-05-27","cited_by_count":2,"area":"diffusion"},{"id":"2505.22923","title":"Plug-and-Play Posterior Sampling for Blind Inverse Problems","created":"2025-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2507.00719","title":"Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence","created":"2025-07-01","cited_by_count":2,"area":"diffusion"},{"id":"2507.13607","title":"Efficient Burst Super-Resolution with One-step Diffusion","created":"2025-07-18","cited_by_count":2,"area":"diffusion"},{"id":"2507.13797","title":"DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance","created":"2025-07-18","cited_by_count":2,"area":"diffusion"},{"id":"2511.04792","title":"Blind Strong Gravitational Lensing Inversion: Joint Inference of Source and Lens Mass with Score-Based Models","created":"2025-11-06","cited_by_count":2,"area":null},{"id":"2411.00359","title":"Linearly Constrained Diffusion Implicit Models","created":"2024-11-01","cited_by_count":1,"area":"diffusion"},{"id":"2411.14269","title":"Guided MRI Reconstruction via Schr\\\"odinger Bridge","created":"2024-11-21","cited_by_count":1,"area":null},{"id":"2411.16535","title":"ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction","created":"2024-11-25","cited_by_count":1,"area":"diffusion"},{"id":"2412.00557","title":"Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion","created":"2024-11-30","cited_by_count":1,"area":"diffusion"},{"id":"2501.08819","title":"Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution","created":"2025-01-15","cited_by_count":1,"area":null},{"id":"2501.12604","title":"Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models","created":"2025-01-22","cited_by_count":1,"area":"diffusion"},{"id":"2501.15128","title":"MAP-based Problem-Agnostic diffusion model for Inverse Problems","created":"2025-01-25","cited_by_count":1,"area":"diffusion"},{"id":"2503.10109","title":"Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion","created":"2025-03-13","cited_by_count":1,"area":null},{"id":"2503.21486","title":"Invert2Restore: Zero-Shot Degradation-Blind Image Restoration","created":"2025-03-27","cited_by_count":1,"area":"diffusion"},{"id":"2503.21501","title":"Double Blind Imaging with Generative Modeling","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2506.11893","title":"Measurement-Aligned Sampling for Inverse Problem","created":"2025-06-13","cited_by_count":1,"area":"diffusion"},{"id":"2508.02923","title":"A Morse-Bott Framework for Blind Inverse Problems: Local Recovery Guarantees and the Failure of the MAP","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2510.03352","title":"Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction","created":"2025-10-02","cited_by_count":1,"area":"diffusion"},{"id":"2511.08416","title":"Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications","created":"2025-11-11","cited_by_count":1,"area":"diffusion"},{"id":"2512.23405","title":"On the Sample Complexity of Learning for Blind Inverse Problems","created":"2025-12-29","cited_by_count":1,"area":null},{"id":"2603.24969","title":"PASDiff: Physics-Aware Semantic Guidance for Joint Real-World Low-Light Face Enhancement and Restoration","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2605.09477","title":"Outlier-Robust Diffusion Solvers for Inverse Problems","created":"2026-05-10","cited_by_count":1,"area":"diffusion"},{"id":"2605.30573","title":"Zeroth-Order Non-Log-Concave Sampling with Variance Reduction and Applications to Inverse Problems","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2307.16670","title":"Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction","created":"2023-07-31","cited_by_count":0,"area":null},{"id":"2310.10209","title":"Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion Generation Model","created":"2023-10-16","cited_by_count":0,"area":"diffusion"},{"id":"2407.09768","title":"Prototype Clustered Diffusion Models for Versatile Inverse Problems","created":"2024-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2409.12377","title":"Fundus image enhancement through direct diffusion bridges","created":"2024-09-19","cited_by_count":0,"area":"diffusion"},{"id":"2505.06761","title":"Learning Graph Representation of Agent Diffusers","created":"2025-05-10","cited_by_count":0,"area":"diffusion"},{"id":"2505.12935","title":"LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration","created":"2025-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2505.15057","title":"Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models","created":"2025-05-21","cited_by_count":0,"area":"diffusion"},{"id":"2507.09285","title":"Generative Latent Kernel Modeling for Blind Motion Deblurring","created":"2025-07-12","cited_by_count":0,"area":null},{"id":"2508.02071","title":"Unsupervised Multi-channel Speech Dereverberation via Diffusion","created":"2025-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2509.17427","title":"Single-Image Depth from Defocus with Coded Aperture and Diffusion Posterior Sampling","created":"2025-09-22","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}