{"total":26,"rows":[{"id":"2501.18913","title":"Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior","created":"2025-01-31","cited_by_count":22,"area":"diffusion"},{"id":"2502.03686","title":"Variational Control for Guidance in Diffusion Models","created":"2025-02-06","cited_by_count":22,"area":"diffusion"},{"id":"2409.09650","title":"Conditional sampling within generative diffusion models","created":"2024-09-15","cited_by_count":19,"area":"diffusion"},{"id":"2506.02680","title":"Solving Inverse Problems with FLAIR","created":"2025-06-03","cited_by_count":17,"area":"diffusion"},{"id":"2509.24912","title":"When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis","created":"2025-09-29","cited_by_count":14,"area":"diffusion"},{"id":"2407.00745","title":"Posterior Sampling with Denoising Oracles via Tilted Transport","created":"2024-06-30","cited_by_count":12,"area":"diffusion"},{"id":"2409.10353","title":"Taming Diffusion Models for Image Restoration: A Review","created":"2024-09-16","cited_by_count":12,"area":"diffusion"},{"id":"2502.03491","title":"LanPaint: Training-Free Diffusion Inpainting with Asymptotically Exact and Fast Conditional Sampling","created":"2025-02-05","cited_by_count":11,"area":"diffusion"},{"id":"2502.06379","title":"Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo","created":"2025-02-10","cited_by_count":10,"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":"2506.07841","title":"Diffusion models under low-noise regime","created":"2025-06-09","cited_by_count":5,"area":"diffusion"},{"id":"2512.18365","title":"Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance","created":"2025-12-20","cited_by_count":5,"area":"diffusion"},{"id":"2602.22428","title":"Calibrated Test-Time Guidance for Bayesian Inference","created":"2026-02-25","cited_by_count":5,"area":"diffusion"},{"id":"2506.01083","title":"Generative diffusion posterior sampling for informative likelihoods","created":"2025-06-01","cited_by_count":4,"area":"diffusion"},{"id":"2510.07343","title":"Local MAP Sampling for Diffusion Models","created":"2025-10-07","cited_by_count":2,"area":"diffusion"},{"id":"2605.14267","title":"Image Restoration via Diffusion Models with Dynamic Resolution","created":"2026-05-14","cited_by_count":2,"area":"diffusion"},{"id":"2408.13799","title":"Non-asymptotic bounds for forward processes in denoising diffusions: Ornstein-Uhlenbeck is hard to beat","created":"2024-08-25","cited_by_count":1,"area":"diffusion"},{"id":"2505.24556","title":"Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data","created":"2025-05-23","cited_by_count":1,"area":"diffusion"},{"id":"2506.11893","title":"Measurement-Aligned Sampling for Inverse Problem","created":"2025-06-13","cited_by_count":1,"area":"diffusion"},{"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":"2602.02045","title":"Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems","created":"2026-02-02","cited_by_count":1,"area":"diffusion"},{"id":"2605.09477","title":"Outlier-Robust Diffusion Solvers for Inverse Problems","created":"2026-05-10","cited_by_count":1,"area":"diffusion"},{"id":"2510.14114","title":"Briding Diffusion Posterior Sampling and Monte Carlo methods: a survey","created":"2025-10-15","cited_by_count":0,"area":"diffusion"},{"id":"2602.00176","title":"Posterior Continuation with Noise-Conditioned Frequency Exposure for Diffusion Inverse Problems","created":"2026-01-30","cited_by_count":0,"area":"diffusion"},{"id":"2605.21661","title":"Hierarchical Variational Policies for Reward-Guided Diffusion","created":"2026-05-20","cited_by_count":0,"area":"diffusion"},{"id":"2610.00359","title":"Diffusion Editing with Soft Mask: Pixel Level Redo of Image and Video with Adjustable Strength","created":"2026-09-30","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}