Diffusion-Based Inverse Problems

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15 papers in the last four weeks, up 400% on the four weeks before. 0.1% of all new papers.

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  1. Noise, Denoise, Correct: MCMC Posterior Sampling with Diffusion Priors in Three Steps

    Oct 7, 2026So Takao, Gregory David Bellchambers, Luke Ye +2Diffusion Posterior SamplingDiffusion-Based Inverse Problems

    PhysicsX London, UK

  2. VM-ARRAYDPS: Virtual Microphone Augmented Diffusion Posterior Sampling for Unsupervised Blind Speech Separation

    Oct 7, 2026Jingqi Sun, Haozhan Tang, Shulin He +1Speech SeparationDiffusion-Based Inverse Problems

    Department of Computer Science and Engineering Southern University of Science and Technology, Shenzhen, China

  3. PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors

    Oct 7, 2026Weicheng Dai, Shantanu Ghosh, Kayhan BatmanghelichSparse-View CT Reconstruction3D Medical Imaging

    Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA

  4. Direct Intermediate Initialization for Tilted Diffusion Samplers

    Oct 5, 2026Gregory D. BellchambersPosterior SamplingDiffusion-Based Inverse Problems

    PhysicsX Ltd. London, EC2A 4DQ

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

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

    School of Mathematical Sciences, Nankai University, Tianjin, China. · Yau Mathematical Sciences Center, Tsinghua University, Beijing, China.

  6. Robust Ensemble Guidance for Scientific Inverse Problems

    Oct 4, 2026Zixiang Li, Wei Wang, Yunchao Wei +2Diffusion Model GuidanceDiffusion-Based Inverse Problems

    Beijing Jiaotong University · Tsinghua University

  7. PhysDEM: Physics-Defined Energy-Matching Diffusion for Spatiotemporal Field Generation under Scarce Measurements

    Oct 1, 2026Zhenyu Liang, Yining Huang, Yubo Zhao +1Physics-Informed Diffusion ModelsPhysics-Informed Generative Modeling

    HKUST · UT Austin

  8. Learned End-to-End Guidance Schedules for Diffusion Models

    Oct 1, 2026Aneesh Barthakur, Mathias Niepert, Luiz F. O. ChamonDiffusion Model GuidanceFew-Step Diffusion Sampling

    University of Stuttgart · École polytechnique, Institut Polytechnique de Paris

  9. MAGiDiff: Sampling the Photospheric Vector Field from UV/EUV Filtergrams

    Sep 30, 2026Ruoyu Wang, David FouheyImage ReconstructionDiffusion-Based Inverse Problems

    NYU

  10. Principled MAP estimation for inverse problems: bridging the gap between convergence and performance

    Sep 29, 2026Alexandre Lagier, Valentine Tosel, Anne Gagneux +2Bayesian Inverse ProblemsBayesian Inference

    ENS de Lyon, CNRS, Université Claude Bernard Lyon 1, Inria, LIP UMR 5668, 69342 Lyon Cedex 07, France · Univ. Bordeaux, Inria, Bordeaux INP, IMB, UMR 5251, F-33400 Talence, France · Inria, ENS de Lyon, CNRS, Université Claude Bernard Lyon 1, LIP UMR 5668, 69342 Lyon Cedex 07, France

  11. Cyclostationary Phase Conditioning for Medical Time Series Diffusion

    Sep 28, 2026Samuel Ruiperez-Campillo, Michele Copetti, Jorge da Silva Goncalves +3Time Series ImputationDiffusion-Based Inverse Problems

    Dept. of Computer Science ETH Zurich

  12. GPARA: Graph-Posterior-Aligned Refinement and Active Acquisition for Grounding Diffusion Priors

    Sep 28, 2026Wangqian Chen, Hao Wang, Yumeng Zhang +3Surrogate ModelingActive Sensing

    The Hong Kong University of Science and Technology · The Chinese University of Hong Kong, Shenzhen

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

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

    Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA · Department of Biostatistics and Health Data Science, University of Pittsburgh, Pittsburgh, PA, USA

  14. FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference

    Sep 24, 2026Gatien Séguy, Thomas RodetDiffusion Model GuidanceBayesian Inverse Problems

    SATIE · SATIE Laboratory, ENS Paris-Saclay, CNRS, Universit´e Paris-Saclay, 91190 Gif-sur-Yvette, France

  15. Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior

    Sep 21, 2026Hugues Roy, Reuben Dorent, Ninon BurgosMedical Image Anomaly DetectionAnomaly Localization

    Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France

  16. STAR: Structure-aware Test-time Adaptation for diffusion-based light field Reconstruction

    Sep 17, 2026Wontae Choi, Ki Ryum Moon, Jae Young Lee +2Image ReconstructionComputational Imaging

    Department of Artificial Intelligence (AI), Sungkyunkwan University (SKKU), Suwon, South Korea · Department of Electrical and Computer Engineering, SKKU, Suwon, South Korea

  17. Backward SDEs-based Diffusion for Physics-Constrained Generation

    Sep 14, 2026Zihao WangDiffusion Model InversionConstrained Generative Modeling

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

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

    School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China · School of Mathematics and Statistics, Lanzhou University, Lanzhou, China

  19. RAIN: Region-Aware Inversion Network for Semantic Watermark Extraction

    Sep 14, 2026Zilai LiDiffusion Model InversionDiffusion Model Watermarking

    Independent Researcher

  20. Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray Nanoimaging

    Sep 9, 2026Wenxuan Fang, Abraham L. Levitan, Ana Diaz +103D ReconstructionImage Reconstruction

    Ecole Polytechnique F´ed´erale de Lausanne, Lausanne, Switzerland. · Paul Scherrer Institute, Villigen, Switzerland. · Sensory Circuits and Neurotechnology Lab, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK. +2

  21. Diffusion Based Unpaired Data Learning for Inverse Problems

    Sep 1, 2026Chenglong Bao, Yiming Dang, Chenguang Duan +2Diffusion-Based Inverse ProblemsInverse Problems

    Yau Mathematical Sciences Center, Tsinghua University, Beijing, China · Department of Mathematical Sciences, Tsinghua University, Beijing, China · Institut für Geometrie und Praktische Mathematik, RWTH Aachen University, Aachen, Germany +2

  22. Null-Space Diffusion Restoration with Adaptive Uncertainty-Guided Fusion for Ultrasound Speckle Reduction

    Aug 30, 2026Juneyong Lee, Jaeyoung ChoiDiffusion Models for Image RestorationUltrasound Imaging

    Department of Computer Science and Engineering, Hankuk University of Foreign Studies, Yongin-si 17035, Republic of Korea

  23. 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

    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China · Yau Mathematical Sciences Center, Shuangqing Complex, Tsinghua University, Beijing 100084, China

  24. MRI super-resolution in ten sampling steps using a diffusion bridge model

    Aug 9, 2026Mojtaba Safari, Hang Yu, Zach Eidex +10Medical Image Super-ResolutionDiffusion-Based Inverse Problems

    Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, United States · Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States · Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States +3

  25. eBIRD: Event-based Intensity Image Reconstruction Using Controllable Diffusion Models

    Aug 9, 2026Ignacio Bugueno-Cordova, Fabian Valderrama, Rodrigo VerschaeEvent-Based VisionImage Reconstruction

    Institute of Engineering Sciences, Universidad de OHiggins, Rancagua, Chile · The Iniciativa de Datos e Inteligencia Artificial, University of Chile, Santiago, Chile

  26. Local Epistemic Uncertainty Guided Active Sampling for Plug-and-play Diffusive Image Restoration

    Aug 7, 2026Jiaqi Zhang, Zheng Pang, Rongrong Gao +2Diffusion Models for Image RestorationDiffusion Model Guidance

    Jiangsu University Zhenjiang, China · Xi’an University of Technology Xi’an, China

  27. DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning

    Aug 4, 2026Tristan Wu, Daniel Chin, Junan Zhang +3Diffusion-Based Inverse ProblemsDiffusion Models

    Computational Media and Art, The Hong Kong University of Science and Technology (Guangzhou) · New York University Shanghai · The Chinese University of Hong Kong, Shenzhen +2

  28. Dual Inversion for Text-to-Image Diffusion Models: From Both Prompt and Noise Perspectives

    Jul 29, 2026Xiaolong Liu, Junjian Li, Yuan Xiao +4Diffusion Model InversionDiffusion-Based Inverse Problems

    Geely Hangzhou, China · City University of Macau Macau, China

  29. FARI: Robust One-Step Inversion for Watermarking in Diffusion Models

    Jul 29, 2026Jindong Yang, Han Fang, Weiming Zhang +2Diffusion Model InversionDiffusion Model Watermarking

    University of Science and Technology of China · 2Anhui Province Key Laboratory of Digital Security

  30. Noise-Free One-Step LoRA for Task-Driven Image Restoration with Diffusion Priors

    Jul 28, 2026Jaeha Kim, Kyoung Mu LeeDiffusion Models for Image RestorationLow-Rank Adaptation

    Dept. of ECE & ASRI, Seoul National University, Seoul, Korea · IPAI, Seoul National University, Seoul, Korea

  31. ScaleResfusion: Residual Rectified Flow based on Residual Vector Field

    Jul 28, 2026Zhenning Shi, Chen Xu, Junhao Zhang +4Diffusion Models for Image RestorationRectified Flow

    College of Computer Science, Nankai University, Tianjin, China · Faculty of Information Science and Computing, University of Macau, Macau, China · CSIRO Data61, Australia +1

  32. SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion

    Jul 23, 2026Wenbin Duan, Yan Shu, Zhuoyuan Fu +4Diffusion Model InversionRectified Flow

    University of International Relations, Beijing, China · University of Trento, Trento, Italy · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.

  33. γγ-Bridge: A Look-Parametric Diffusion Bridge

    Jul 21, 2026Xuran Hu, Yujie Zhu, Tengxi Wang +2Diffusion Models for Image RestorationPhysics-Guided Image Restoration

    Urban Governance and Design Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · Faculty of Science and Engineering, Macquarie University, NSW 2109, Sydney, Australia · School of Geography and Planning, Ningxia University, Yinchuan, China

  34. 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

    Department of Statistics and Data Science, Chinese University of Hong Kong, Hong Kong · Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA · Department of Statistics and Data Science, the Wharton School, University of Pennsylvania, PA, USA

  35. Feature-Guided Diffusion for Non-Differentiable Inverse Rendering

    Jul 19, 2026Andrei-Timotei Ardelean, Michael Fischer, Tim Weyrich +1Inverse RenderingBlack-Box Optimization

    Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany · Adobe Research, London, United Kingdom · Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic

  36. Compression Asymmetry and Trajectory Binding in Noise-Anchored Diffusion Inversion

    Jul 8, 2026Yongseong Park, Joeun Kim, HoEun Kim +1Diffusion Model InversionDiffusion-Based Inverse Problems

    Department of EECS DGIST Daegu, Republic of Korea · Department of AI DGIST Daegu, Republic of Korea

  37. When Does High-CFG Diffusion Inversion Fail? A Controlled Study of Prompt--Latent Interactions

    Jul 6, 2026Yan Zeng, Yusuke Hosoya, Huyen T. T. Tran +1Diffusion Model InversionClassifier-Free Guidance

    GSIS Tohoku University Sendai, Japan · RIKEN AIP JAPAN

  38. Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models

    Jul 3, 2026Ron Levi, Michael EladDiffusion Models for Image RestorationDiffusion-Based Inverse Problems

    Department of Computer Science Technion, Israel

  39. High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction

    Jul 1, 2026Yu Guan, Tianjia Huang, Qinrong Cai +3Diffusion Models for Image RestorationAccelerated MRI Reconstruction

  40. Diffusion-Based Material Regularization for Physics-Based Inverse Rendering

    Jun 30, 2026Jingwang Ling, Lifan Wu, Feng Xu +1Inverse RenderingDiffusion-Based Inverse Problems

    University of Illinois Urbana-Champaign · NVIDIA · BNRist and School of Software, Tsinghua University

  41. Stochastic Optimal Control Sampling for Diffusion Inverse Problems

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

    School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China · Shanghai Key Laboratory of Flexible Medical Robotics, Tongren Hospital, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

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

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

    Department of Civil and Environmental Engineering University of Illinois Urbana-Champaign Urbana, IL 61801

  43. 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

    University of Oxford · UIUC · fal +1

  44. Decoupled Latent Optimization of Diffusion Models for Full Waveform Inversion

    Jun 12, 2026Chen Min, Zheng MaDiffusion-Based Inverse ProblemsPDE Inverse Problems

    School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China

  45. 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

    Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX · Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX · Mitsubishi Electric Research Laboratories, Cambridge, MA

  46. The Right Measure for Physics-Constrained Generation: A Co-Area Correction for Posterior-Consistent PDE Inverse Problems

    Jun 3, 2026Jian Xu, Yanning Wu, Delu Zeng +2Constrained Generative ModelingPhysics-Informed Generative Modeling

    1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1

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

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

    Université Paris-Saclay, CentraleSupélec, CNRS, ENS Paris-Saclay · Laboratoire de Mécanique Paris-Saclay UMR 9026 · 8-10 rue Joliot Curie, 91190 Gif-sur-Yvette, France +5

  48. RMPrior: Bridging Propagation Priors and Diffusion Refinement for Efficient Radio Map Construction

    Jun 2, 2026Zixuan Guo, Xiucheng Wang, Nan ChengFew-Step Diffusion SamplingWireless Communications

    School of Physics, Xidian University, Xi’an, 710071, China · State Key Laboratory of ISN and School of Telecommunications Engineering, Xidian University, Xi’an, 710071, China

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

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

    Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114 · Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA 15261

  50. KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems

    May 29, 2026Alireza Kheirandish, Jihoon Hong, Sara Fridovich-KeilDiffusion-Based OOD DetectionDistribution Shift Detection

    Georgia Institute of Technology

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

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

    Georgia Institute of Technology

  52. Trajectory Constraints for Imaging Inverse Problems

    May 27, 2026Chaoyan Huang, Haijie Yuan, Saiprasad RavishankarImage ReconstructionComputational Imaging

    Department of Computational Mathematics, Science, & Engineering, Michigan State University · Department of Electrical Engineering and Computer Science, University of Michigan · Department of Biomedical Engineering, Michigan State University

  53. 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

    Department of Electronic Engineering, Tsinghua University, Beijing, China · Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.

  54. 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

    Department of Electrical and Computer Engineering, Inha University, Incheon, 22212, South Korea.

  55. 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

    Dept. of Electrical and Computer Engineering · INMC · IPAI & AIIS

  56. Unbiased Diffusion Variational Inversion via Principled Posterior Matching

    May 24, 2026Weimin Bai, Yuxuan Gu, Yifei Wang +2Diffusion Model InversionBayesian Inverse Problems

    Peking University

  57. Hierarchical Variational Policies for Reward-Guided Diffusion

    May 20, 2026Kushagra Pandey, Farrin Marouf Sofian, Jan Niklas Groeneveld +2Diffusion Models for Image RestorationDiffusion Model Guidance

    Department of Computer Science University of California Irvine

  58. 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

    MaLGa Center, Department of Mathematics, University of Genova, Italy · Department of Mathematics, University of Bologna, Bologna, Italy · Department of Mathematics, Harbin Institute of Technology, China

  59. Learning Normalized Energy Models for Linear Inverse Problems

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

    Rice University, Houston, TX, USA · Flatiron Institute, New York, NY, USA · New York University, New York, NY, USA

  60. Image Restoration via Diffusion Models with Dynamic Resolution

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

    School of Computer Science and Engineering, University of Electronic Science and Technology of China.