Physics-Guided Image Restoration

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

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Hybrid++: The Bridge between PDE Models and Deep Learning for Gamma Noise Removal
Oct 6, 2026Mahipal Jetta, Sujato DuttaImage Denoising Physics-Guided Image Restoration
Mahindra University
BAM! Bayesian Anything Model: a foundation model for generative computational imaging
Sep 30, 2026Alessio Spagnoletti, Charlesquin Kemajou Mbakam, Jonathan Spence +2Physics-Informed Generative Modeling Physics-Guided Image Restoration
Laboratoire MAP5, UMR 8145, Université Paris Cité, CNRS · Heriot-Watt University, School of Mathematical and Computer Sciences & Maxwell Institute for Mathematical Sciences
Physics-Guided Spectral Distillation for Underwater Image Enhancement on Resource-Constrained Devices
Sep 28, 2026Yifan Chen, Kai He, Ye Zheng +3Image Enhancement Underwater Image Enhancement
College of Future Information Technology, Fudan University, Shanghai 200433, China · Institute of Artificial Intelligence (TeleAI), China Telecom, China · School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China
Physics-Guided Multi-Objective Deep Learning for Ultrasound RF Data Interpolation in Resource-Constrained Imaging
Sep 23, 2026Luoyuan Zhang, Yiyang You, Ananya Tandri +4Physics-Guided Image Restoration Image Reconstruction
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA · Johns Hopkins University, Baltimore, MD, USA
PP-Net: A Hybrid Physical-Prior Neural Network for Scattered Light Removal in Biomedical Images on Embedded Devices
Sep 22, 2026Yongfei Guo, Tingjin Chu, Mengzhuo Liu +2Physics-Guided Image Restoration Image Restoration
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China · University of Chinese Academy of Sciences, Beijing, China · School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia +1
Degraded Infrared Small Object Detection via Degradation-Adapted Physics-Guided Restoration
Aug 10, 2026Xinkai Lu, Wenjun Chen, Yi Li +2Image Corruption Robustness Physics-Guided Image Restoration
National Key Lab of Multispectral Information Intelligent Processing Technology School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China · School of Ocean Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal Case
Aug 6, 2026Shilin Hu, Jingyi Xu, Dimitris Samaras +1Shadow Removal Physics-Guided Image Restoration
Stony Brook University, Stony Brook NY 11794, USA · UNC Charlotte, Charlotte NC 28223, USA
$γ$ -Bridge: A Look-Parametric Diffusion Bridge
Jul 21, 2026Xuran Hu, Yujie Zhu, Tengxi Wang +2Diffusion Models for Image Restoration Physics-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
A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy
Jun 26, 2026Xiangyu Qian, Jing Liu, Yunqing Tang +2Physics-Guided Image Restoration Image Restoration
Wenzhou Key Laboratory of Biomedical Imaging, Zhejiang Key Laboratory of Soft Matter Biomedical Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325000, China · Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
Efficient Real-World Dehazing via Physics-Inspired Global-Local Decoupling
Jun 24, 2026Yifei Qu, Ru Li, Junjie Chen +1Physics-Guided Image Restoration Image Restoration
Faculty of Computing, Harbin Institute of Technology, Harbin 150006, China
Fusing Transferred Priors and Physics-based Decomposition for Underwater Image Enhancement
Jun 14, 2026Haochen Hu, Yanrui Bin, Zhengyan Zhang +3Underwater Image Enhancement Underwater Imaging
The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR
Physics-Guided Self-Supervised Statistical Residual Learning for Sonar Despeckling with Improved Generalization
May 23, 2026Swapna Pillai, Siddharth Singh Savner, Sujit Kumar SahooSelf-Supervised Image Denoising Self-Supervised Learning
School of Electrical Sciences, Indian Institute of Technology Goa, Goa 403401, India · Inria, Sophia Antipolis, France
Physen-Noise2Noise: Physics-Guided Self-Supervised Defocus Deblurring with Bias Correction under Low-Light Conditions
May 23, 2026Ziyan Huang, Lang Wu, Hongji Wang +3Image Deblurring Physics-Guided Image Restoration
School of Mathematics and Statistics, Central South University, Changsha, 410083, People’s Republic of China · Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education, Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University, Changsha 410082, People’s Republic of China
HADAR-Based Thermal Infrared Hyperspectral Image Restoration
May 13, 2026Cheng Dai, Jiale Lin, Bingxuan Song +4Thermal Imaging Physics-Guided Image Restoration
School of Science, Westlake University, Hangzhou 310030, China
Unifying Physically-Informed Weather Priors in A Single Model for Image Restoration Across Multiple Adverse Weather Conditions
May 13, 2026Jiaqi Xu, Xiaowei Hu, Lei Zhu +1Physics-Guided Image Restoration All-in-One Image Restoration
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China · Shanghai Artificial Intelligence Laboratory, Shanghai, China · ROAS Thrust, the Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China +1
Single Image Defogging Using a Fourth-Order Telegraph PDE Guided by Physical Haze Modeling
Apr 26, 2026Manish Kumar, Rajendra K. RayPDE Solving Physics-Guided Image Restoration
School of Mathematical and Statistical Sciences, Indian Institute of Technology Mandi, Mandi (H.P), 175075, India
SurgiATM: A Physics-Guided Plug-and-Play Model for Deep Learning-Based Smoke Removal in Laparoscopic Surgery
Nov 7, 2025Mingyu Sheng, Jianan Fan, Dongnan Liu +3Physics-Guided Image Restoration Image Restoration
School of Computer Science, The University of Sydney, Sydney, NSW, Australia · Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China · Department of Radiology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, United States
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications
Mar 3, 2025Yuchen Xiang, Zhaolu Liu, Monica Emili Garcia-Segura +12Self-Supervised Learning Physics-Guided Image Restoration
Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK · Department of Mathematics, Imperial College London, London, UK · Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK +4
Filterless Snapshot Hyperspectral Imaging using Guided Patch Diffusion
Dec 3, 2024Dean Hazineh, Luca Sacchi, Davide Cassara +2Diffusion Model Guidance Physics-Guided Image Restoration
Harvard University

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Hybrid++: The Bridge between PDE Models and Deep Learning for Gamma Noise Removal

Mahipal Jetta, Sujato Dutta

Mahindra University

Image Denoising Physics-Guided Image Restoration

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Multiplicative gamma noise is one of the dominant noise factors in Synthetic Aperture Radar (SAR) and medical ultrasound images. They are dependent on pixel level noises due to which they are highly varying across the image and harder to handle as compared to additive noise. The denoising methods to address this noise currently include classical partial differential equation (PDE) methods which are good for interpretation but lack the restoration ability as compared to the state-of-the-art models while deep convolutional networks like DnCNN achieve high performance but at the cost of transparency due to which practitioners are skeptical to use them in high-risk critical fields like medicine. This paper presents Hybrid++, a novel trainable nonlinear reaction-diffusion architecture that addresses both the concerns - staying interpretable while offering performance close to huge black-box models. It combines a fully learnable PDE initialization with a 3-stage reaction-diffusion network having 64-channel multiscale filter banks, 4-layer Squeeze-and-Excitation attention-based influence functions and a 64-dimensional noise level embedding. It uses a two-phase training strategy, stage-wise optimization followed by joint end-to-end refinement which enables co-adaptation of all learnable parameters. On the FoE benchmark, Hybrid++ substantially improves over classical PDE, BM3D and the original TNRD baselines. In the severe-noise setting L=1, it comes within 0.23 dB PSNR of a separately trained DnCNN while using only about 8% of its parameters. We therefore position Hybrid++ not as a universal state-of-the-art image restoration backbone, but as a compact, physically structured reaction-diffusion model for multiplicative gamma noise.

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