Image Inverse Problems

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10 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

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Self-attention summary networks for subsurface velocity-model building from common-image gathers
Oct 7, 2026Shiqin Zeng, Yunlin Zeng, Abhinav Prakash Gahlot +2Inverse Problems Bayesian Inverse Problems
Georgia Institute of Technology
Twist Flow for Inverse Problems
Oct 7, 2026Shiqin Zeng, Zijun Deng, Felix J. HerrmannBayesian Inverse Problems Posterior Sampling
Georgia Institute of Technology
UltraDiff: Differentiable Ray Tracing in Ultrasound for Shape Optimization
Oct 6, 2026Felix Duelmer, Magdalena Wysocki, Nassir Navab +1Differentiable Rendering Ultrasound Imaging
Technical University of Munich & Munich Center for Machine Learning
Principled MAP estimation for inverse problems: bridging the gap between convergence and performance
Sep 29, 2026Alexandre Lagier, Valentine Tosel, Anne Gagneux +2Bayesian Inverse Problems Bayesian 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
Livin' on a Prior: Likelihood Score Approximation for Inverse Problems
Sep 28, 2026Rostislav Makarov, Tal Peer, Danilo de Oliveira +1Conditional Generative Modeling Inverse Problems
Signal Processing University of Hamburg Hamburg, Germany
Convergent Plug-and-Play Image Restoration with Annealed Noise Levels
Sep 26, 2026Samuel HuraultConvergence Analysis Image Restoration
LIGM, CNRS, Univ. Gustave Eiffel
Compact Low-Cost Hyperspectral Imaging via Angular-to-Spectral Diversity Conversion
Sep 20, 2026Kazuma Fujiwara, Takuya Funatomi, Kazuya Kitano +2Hyperspectral Imaging Computational Imaging
Nara Institute of Science and Technology, Nara, Japan · Kyoto University, Kyoto, Japan
FlowSGS: Improving Flow Matching Priors for Inverse Imaging with Stochastic Interpolants
Sep 17, 2026Tianao Li, Xinhui Qian, Emma AlexanderFlow Matching Markov Chain Monte Carlo
Department of Computer Science, Northwestern University · NSF-Simons AI Institute for the Sky (SkAI) · Department of Statistics and Data Science, Northwestern University
Learning-Based Reconstruction of Optical Properties in Bilayered Media from Single-distance Time-Resolved Reflectance Measurements
Sep 17, 2026Caterina Amendola, Giulia Maffeis, Lorenzo Buffoni +8Inverse Problems Image Inverse Problems
Department of Physics, Politecnico di Milano, Milan, 20133, Italy
STAR: Structure-aware Test-time Adaptation for diffusion-based light field Reconstruction
Sep 17, 2026Wontae Choi, Ki Ryum Moon, Jae Young Lee +2Image Reconstruction Computational Imaging
Department of Artificial Intelligence (AI), Sungkyunkwan University (SKKU), Suwon, South Korea · Department of Electrical and Computer Engineering, SKKU, Suwon, South Korea
Backward SDEs-based Diffusion for Physics-Constrained Generation
Sep 14, 2026Zihao WangDiffusion Model Inversion Constrained Generative Modeling
Physical-State-Guided Diffusion Sampling for Full-Waveform Inversion
Sep 14, 2026Chen Min, Haowen Jiang, Zheng Ma +1Physics-Informed Diffusion Models Diffusion-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
FIRM: Flow-based Imaging via Regularized Minimization
Sep 11, 2026Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1Conditional Flow Matching Image Reconstruction
WashU · UW-Madison
Diffusion Based Unpaired Data Learning for Inverse Problems
Sep 1, 2026Chenglong Bao, Yiming Dang, Chenguang Duan +2Diffusion-Based Inverse Problems Inverse 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
ReBridge-Flow: Re-Coupling Posterior Bridges in Flow Matching for Image Restoration
Sep 1, 2026Jiaqi Zhang, Yiqi Wang, Hongjie Wu +6Image Restoration Image Inverse Problems
Jiangsu University · Griffith University · Sichuan University +5
A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
Aug 15, 2026Zhaoqiang Liu, Tongyao Pang, Ruibing Wang +1Diffusion Models for Image Restoration Bayesian 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
Making Every Step Count: Spatio-Temporal Information Allocation for Imaging Inverse Problems
Aug 12, 2026Yi Cao, Xiangyong Cao, Pei Liu +2Inference-Time Optimization Image Restoration
Xi’an Jiaotong University · Tsinghua University
A neural operator view on U-Nets for inverse imaging problems
Aug 6, 2026Alexander Auras, Martin Burger, Samira Kabri +2U-Net Neural Operators
Computer Vision Group, University of Siegen, Hölderlinstraße 3, 57076 Siegen, Germany · Helmholtz Imaging, Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, Hamburg, 22607, Germany · Fachbereich Mathematik, Universität Hamburg, Bundesstrasse 55, Hamburg, 20146, Germany
Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching
Aug 1, 2026Hongjie Wu, Yiping Xie, Jiancheng LvBayesian Inverse Problems Image Inverse Problems
College of Computer Science, Sichuan University Chengdu, China
Trainable Nonexpansive Denoisers for Contractive Image Reconstruction
Jul 25, 2026Arghya Sinha, Aditya Banerjee, Trishit Mukherjee +1Image Reconstruction Lipschitz Neural Networks
Indian Institute of Science, Bengaluru, India.
Stabilizing Deep Reconstruction Operators with Contractive Anchoring
Jul 25, 2026Arghya Sinha, Trishit Mukherjee, Kunal N. ChaudhuryAlgorithmic Stability Image Reconstruction
Indian Institute of Science, Bengalore, India
IQ-JEPA: A Joint-Embedding Predictive Architecture with a Hermitian Vision Transformer for Sound Speed and Attenuation Estimation from Ultrasound IQ Data
Jul 24, 2026Masashi Sode, Gianmarco PintonSelf-Supervised Pre-Training Joint-Embedding Predictive Architecture
Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599 USA
ESAR: Event-Based Synthetic Aperture Reconstruction
Jul 16, 2026Harbir Antil, Daniel Blauvelt, David SayreEvent-Based Vision Computational Imaging
Efficient Computing for Medical Image Acquisition and Reconstruction
Jul 14, 2026Xiao Wang, Jayasai Rajagopal, Md Safaiat Hossain +4Medical Imaging Image Reconstruction
From Preimage Search To Source-Grounded Feature Inversion
Jul 14, 2026Kaixiang ShuNeural Network Interpretability Image Inverse Problems
Independent Researcher
Imaging-101: Benchmarking LLM Coding Agents on Scientific Computational Imaging
Jul 12, 2026Siyi Chen, Jiahe Ying, Yixuan Jia +9AI Agents for Scientific Discovery Computational Imaging
Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies, Ministry of Education, Beijing, 102206, China
Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models
Jul 3, 2026Ron Levi, Michael EladDiffusion Models for Image Restoration Diffusion-Based Inverse Problems
Department of Computer Science Technion, Israel
High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction
Jul 1, 2026Yu Guan, Tianjia Huang, Qinrong Cai +3Diffusion Models for Image Restoration Accelerated MRI Reconstruction
Radial Interaction Tomography: Recognizing Non-Transitive Evolutionary Games from One Range-Expansion Image
Jul 1, 2026Faruk Alpay, Baris BasaranEvolutionary Game Theory Image Inverse Problems
Department of Computer Engineering, Bahçeşehir University, Istanbul, Türkiye
Stochastic Optimal Control Sampling for Diffusion Inverse Problems
Jun 27, 2026Jie Zhang, Youmei Qiu, Hanling Tian +3Stochastic Optimal Control Diffusion-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

Oct 7, 2026, cs.LGJ/K move · Enter open · S save

Self-attention summary networks for subsurface velocity-model building from common-image gathers

Shiqin Zeng, Yunlin Zeng, Abhinav Prakash Gahlot, Zijun Deng+1

Georgia Institute of Technology

Inverse Problems Bayesian Inverse Problems Image Inverse Problems Multi-Scale Attention

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Common-image gathers (CIGs) contain physically meaningful information about velocity-model errors through reflector focusing and residual moveout, but in conventional imaging workflows they are typically used only as diagnostic tools. In this work, we propose a multiscale self-attention summary network that maps high-dimensional 3D CIG volumes into compact conditioning embeddings for probabilistic subsurface velocity inversion. These learned embeddings preserve offset-dependent kinematic structure and spatial coherence while reducing variability caused by background-velocity mismatch. Conditioned on these summary embeddings, a flow-matching model learns a transport from a Gaussian source distribution to the posterior distribution of plausible velocity fields. Numerical experiments show that, compared with direct conditioning on raw CIGs, the proposed summary network improves posterior velocity inference. In particular, the multiscale attention design provides greater robustness to background-model mismatch, yielding more accurate posterior reconstructions and lower predictive uncertainty.

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