Diffusion Posterior Sampling

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 58

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  1. Frequency-Decoupled Diffusion Guidance for Non-Blind Image Deblurring

    Oct 5, 2026Sihan Wang, Jinshu Huang, Haibin Su +1Image DeblurringFrequency-Domain Image Processing

  2. SNaP: One-Step Posterior Sampling for Noisy Inverse Problems

    Sep 28, 2026Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1Flow MatchingMeanFlow

  3. CLIMB-flow: Coupled Linear Inverse posterior sampling via Multiscale-Based flow

    Sep 27, 2026Zeqiu Yu, Ruizhi Yuan, Mathews JacobDiffusion Models for Image RestorationDiffusion Sampling

  4. Generative Atmospheric Super-Resolution from Heterogeneous In Situ Observations through Composable Interfaces

    Sep 24, 2026Yang Xu, Dibyajyoti Chakraborty, Haiwen Guan +2Bayesian Inverse ProblemsData Assimilation

  5. Physical-State-Guided Diffusion Sampling for Full-Waveform Inversion

    Sep 14, 2026Chen Min, Haowen Jiang, Zheng Ma +1Physics-Informed Diffusion ModelsDiffusion-Based Inverse Problems

  6. A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors

    Aug 15, 2026Zhaoqiang Liu, Tongyao Pang, Ruibing Wang +1Diffusion Models for Image RestorationBayesian Inverse Problems

  7. RadioTrace: Transmitter-Aware Diffusion for Radio Map Estimation without Deployment-Time Fine-Tuning

    Jul 23, 2026Liu Yang, Qiang Li, Zhuo Cao +3Wireless CommunicationsDiffusion Posterior Sampling

  8. Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines

    Jul 21, 2026Guillaume Payeur, Laurence Perreault-Levasseur, Gabriel Missael Barco +1Pixel-Space Diffusion ModelsDiffusion Posterior Sampling

  9. Provable diffusion-based posterior sampling for linear inverse problems via DDIM

    Jul 21, 2026Yuchen Jiao, Na Li, Changxiao Cai +2Diffusion Models for Image RestorationBayesian Inverse Problems

  10. Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building

    Jul 6, 2026Francesco Brandolin, Tariq AlkhalifahSeismologyDiffusion Posterior Sampling

  11. Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation

    Jun 30, 2026Hyunsoo Lee, Inwoo Hwang, Young Min KimDiffusion SamplingDiffusion Model Acceleration

  12. Stochastic Optimal Control Sampling for Diffusion Inverse Problems

    Jun 27, 2026Jie Zhang, Youmei Qiu, Hanling Tian +3Stochastic Optimal ControlDiffusion-Based Inverse Problems

  13. Measured-Subspace Consistency: A Plug-and-Play Operator for Diffusion Posterior Sampling in Accelerated MRI Reconstruction

    Jun 26, 2026Junhyeok Lee, Kyu Sung ChoiBayesian Inverse ProblemsAccelerated MRI Reconstruction

  14. Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems

    Jun 25, 2026Yuanzhe Wang, Alexandre M. TartakovskyLatent Diffusion ModelsBayesian Inverse Problems

  15. BayesFP: Posterior Estimation for Flow-Based Policies via Feynman-Kac Sampling

    Jun 19, 2026Sreevardhan Sirigiri, Weiming Zhi, Fabio RamosRobot Policy LearningTrajectory Generation

  16. Exact Posterior Score Estimation for Solving Linear Inverse Problems

    Jun 15, 2026Abbas Mammadov, Ozgur Kara, Kaan Oktay +5Diffusion Models for Image RestorationDiffusion-Based Inverse Problems

  17. A Stabilized Path-Space Approach to Diffusion-Based Posterior Sampling

    Jun 10, 2026Evan Scope Crafts, Umberto Villa, Saviz Mowlavi +3Bayesian Inverse ProblemsDiffusion-Based Inverse Problems

  18. Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations

    Jun 2, 2026Niccolò Perrone, Fanny Lehmann, Stefania Fresca +1PDE Surrogate ModelingSpectral Bias

  19. Bayesian Tensor Decomposition with Diffusion Model Prior

    Jun 2, 2026Zerui Tao, Qibin ZhaoBayesian Inverse ProblemsTensor Decomposition

  20. Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates

    Jun 1, 2026Pengfei Jin, Yiqi Tian, Kailong Fan +2Diffusion-Based Inverse ProblemsHallucination Mitigation

  21. Generative Diffusion Priors for 3D Mapping of the Dark Universe

    May 30, 2026Brandon Zhao, Diana Scognamiglio, Olivier Doré +13D ReconstructionBayesian Inverse Problems

  22. When, why, and how do diffusion posterior samplers fail? A finite-sample lens

    May 28, 2026Benjamin A. Burns, Sara Fridovich-KeilBayesian Inverse ProblemsPosterior Sampling

  23. Stage-wise Distortion-Perception Traversal in Zero-shot Inverse Problems with Diffusion Models

    May 27, 2026Jiawei Zhang, Ziyuan Liu, Leon Yan +2Bayesian Inverse ProblemsDiffusion-Based Inverse Problems

  24. Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping

    May 27, 2026Seunghyeok Shin, Minwoo Kim, Dabin Kim +1Gauss-Newton OptimizationBayesian Inverse Problems

  25. Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules

    May 26, 2026Junseo Bang, Dong Ju Mun, Hoigi Seo +2Diffusion Model GuidanceDiffusion Timestep Scheduling

  26. Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography

    May 19, 2026Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi +2Image ReconstructionDiffusion-Based Inverse Problems

  27. CrystalBoltz: End-to-End Protein Structure Determination via Experiment-Guided Diffusion for X-Ray Crystallography

    May 15, 2026Minseo Kim, Huanghao Mai, Jay Shenoy +3Bayesian Inverse ProblemsDiffusion Posterior Sampling

  28. Learning Normalized Energy Models for Linear Inverse Problems

    May 15, 2026Nicolas Zilberstein, Santiago Segarra, Eero Simoncelli +1Bayesian Inverse ProblemsEnergy-Based Models

  29. Image Restoration via Diffusion Models with Dynamic Resolution

    May 14, 2026Yang Zheng, Wen Li, Zhaoqiang LiuDiffusion Models for Image RestorationDiffusion-Based Inverse Problems

  30. Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration

    May 12, 2026Davide Evangelista, Elena Morotti, Francesco Pivi +1Diffusion SamplingImage Restoration

  31. Principled Design of Diffusion-based Optimizers for Inverse Problems

    May 12, 2026Julio Oscanoa, Irmak Sivgin, Cagan Alkan +4Inference-Time OptimizationDiffusion-Based Inverse Problems

  32. Predicting 3D structure by latent posterior sampling

    May 11, 2026Azmi Haider, Dan Rosenbaum3D ReconstructionMulti-View 3D Reconstruction

  33. Composing diffusion priors with explicit physical context via generative Gibbs sampling

    May 11, 2026Weizhou Wang, Jonathan Weare, Aaron R. DinnerDiffusion Posterior SamplingDiffusion Models

  34. Discrete Langevin-Inspired Posterior Sampling

    May 10, 2026Chaitanya Amballa, Sattwik Basu, Jorge Vančo Sampedro +1Diffusion Models for Image RestorationBayesian Inverse Problems

  35. Consistency Regularised Gradient Flows for Inverse Problems

    May 8, 2026Alessio Spagnoletti, Tim Y. J. Wang, Marcelo Pereyra +1Latent Diffusion ModelsWasserstein Gradient Flows

  36. Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions

    May 7, 2026James Rowbottom, Nick Huang, Carola-Bibiane Schönlieb +1Bayesian Inverse ProblemsDiffusion Posterior Sampling

  37. Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability

    May 7, 2026Matias G. Delgadino, Sebastien Motsch, Advait Parulekar +2Stochastic Differential EquationsBayesian Inverse Problems

  38. Conditional Diffusion Under Linear Constraints: Langevin Mixing and Information-Theoretic Guarantees

    May 6, 2026Ahmad Aghapour, Erhan Bayraktar, Asaf CohenDiffusion Models for Image RestorationLangevin Dynamics

  39. Tempered Guided Diffusion

    May 5, 2026Andreas Makris, Paul Fearnhead, Chris NemethDiffusion Model SamplingDiffusion-Based Inverse Problems

  40. Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction

    Apr 23, 2026Luis Barba, Johannes Kirschner, Benjamin BejarCone-Beam CT3D Medical Imaging

  41. Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning

    Apr 18, 2026Yingzhi Xia, Setthakorn Tanomkiattikun, Liangli Zhen +1Markov Chain Monte CarloBayesian Inverse Problems

  42. Generative Semantic Communication via Alternating Dual-Domain Posterior Sampling

    Apr 18, 2026Shunpu Tang, Qianqian YangDiffusion Model GuidanceSemantic Communication

  43. Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling

    Apr 8, 2026Andrew Millard, Zheng Zhao, Henrik PedersenPDE SolvingDiffusion Posterior Sampling

  44. Calibrated Test-Time Guidance for Bayesian Inference

    Feb 25, 2026Daniel Geyfman, Felix Draxler, Jan Groeneveld +3Bayesian Inverse ProblemsBayesian Inference

  45. A Gibbs posterior sampler for inverse problem based on prior diffusion model

    Feb 11, 2026Jean-François GiovannelliMarkov Chain Monte CarloBayesian Inverse Problems

  46. Score-based diffusion models for severely ill-posed problems in diffuse optical tomography

    Feb 3, 2026Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov +4Medical ImagingBayesian Inverse Problems

  47. Fundamental Recovery Bounds for SPAD Signals under Stationary Flux

    Jan 12, 2026Lior Dvir, Nadav Torem, Mohit Gupta +1Bayesian Inverse ProblemsDiffusion Posterior Sampling

  48. Jacobian-Aware Posterior Sampling for Inverse Problems

    Nov 23, 2025Liav Hen, Tom Tirer, Raja Giryes +1Bayesian Inverse ProblemsDiffusion Guidance

  49. DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing

    Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion Models for Image RestorationBayesian Inverse Problems

  50. A Gradient Flow Approach to Solving Inverse Problems with Latent Diffusion Models

    Sep 23, 2025Tim Y. J. Wang, O. Deniz AkyildizWasserstein Gradient FlowsBayesian Inverse Problems

  51. Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence

    Jul 1, 2025Anantha Narayanan Suresh Babu, Akhil Sadam, Pierre F. J. LermusiauxDiffusion Model GuidanceData Assimilation

  52. EquiReg: Equivariance Regularized Diffusion for Inverse Problems

    May 29, 2025Bahareh Tolooshams, Aditi Chandrashekar, Rayhan Zirvi +4Diffusion Models for Image RestorationDiffusion-Based Inverse Problems