Diffusion-Based Inverse Problems

Ask about this topic

Momentum

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

Jul 13Week of Sep 28
View on map

Latest papers 89

All topics
CardsList

  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