Overview

Image restoration estimates cleaner or more complete images from degraded measurements, supporting applications from photography and remote sensing to medical and scientific imaging. Methods range from inverse-problem and physics-based models to CNNs, Transformers, state-space networks, and diffusion or flow models; self-supervised learning and pretrained priors help when clean paired examples are scarce. Work increasingly targets unified models for mixed degradations, real-world adaptation, and efficient deployment, with evaluation extending beyond image metrics to downstream tasks such as detection and diagnosis. A central challenge is balancing fidelity to observed evidence with perceptual quality: generative methods can add plausible but incorrect detail, so reliable control and hallucination assessment remain important.

Latest papers

CardsList

372 papers42 papers in the last four weeks, up 27% on the four weeks before. 0.2% of all new papers.

  1. From Fog Chamber to Aircraft Window: Pixel-Registered Imaging and Synthetic Fine-Tuning Enable Cross-Domain Defogging

    Jun 27, 2026Alexander Ingold, Sabina D. Menon, Manya Yellepeddy +5Synthetic-to-Real Domain AdaptationImage Restoration

  2. Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution

    Jun 27, 2026Shuang Cui, Fan Ji, Guanglong Sun +4Agent-Based Image RestorationImage Restoration

  3. BiDeMem: Bidirectional Degradation Memory for Explainable Image Restoration

    Jun 26, 2026Xinrui Wu, Lichen HuangMemory-Augmented Neural NetworksUnsupervised Image Restoration

  4. A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy

    Jun 26, 2026Xiangyu Qian, Jing Liu, Yunqing Tang +2Deep Image PriorPhysics-Guided Image Restoration

  5. DeLux: Cross-Modal Local Artifact Restoration in Video Using Neuromorphic Data

    Jun 25, 2026Bartosz Stachowiak, Dariusz BrzezinskiImage RestorationImage Inpainting

  6. Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction

    Jun 25, 2026Xilai Li, Xiaosong Li, Haishu Tan +3Multi-Source Image FusionCross-Modal Attention

  7. TaskTok: Delving into Task Tokens for Task-driven Image Restoration

    Jun 25, 2026Hongjae Lee, Sojung Kang, Jaeseong Yu +1Image RestorationVisual Token Pruning

  8. LogicIR: Logic Gate Networks for Image Restoration

    Jun 25, 2026Hongjae Lee, Myungjun Son, Jaeseong Yu +1Efficient Neural Network InferenceImage Restoration

  9. A Benchmark for Heterogeneous Stereo Deblurring with Physically- and Epipolar-constrained Cross Attention

    Jun 24, 2026Hoju Shin, Jiah Kim, Seung-Wook Kim +1Image DeblurringCross-Attention

  10. Shift Variant Image Degradation and Restoration Using Singular Value Decomposition

    Jun 24, 2026Arun D. KulkarniImage DeblurringImage Restoration

  11. Efficient Real-World Dehazing via Physics-Inspired Global-Local Decoupling

    Jun 24, 2026Yifei Qu, Ru Li, Junjie Chen +1Physics-Guided Image RestorationImage Restoration

  12. Noise-Aware Boundary-Enhanced Generative Learning for Ultrasound Speckle Reduction

    Jun 23, 2026Yuexi Gu, Mengqi Wu, Yongheng Sun +3Generative ModelingUltrasound Imaging

  13. TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration

    Jun 23, 2026Yang Zhou, Wenxue Li, Peng Zhang +3Image RestorationVideo Restoration

  14. Learning Adaptive Dynamical Features via Multi-ττ Liquid-Mamba for All-in-one Image Restoration

    Jun 22, 2026Hu Gao, Changshuo Wang, Yulong Chen +1MambaSelective SSMs

  15. FlowDec: Temporal Conditional Flow Decorruptor for Robust Continuous Vision-Language Navigation

    Jun 21, 2026Yufei Zhang, Changhao ChenVLM RobustnessVision-Language Navigation

  16. Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems

    Jun 18, 2026Nicolas Zilberstein, Morteza Mardani, Santiago SegarraFlow MatchingFlow Map Learning

  17. DVANet: Degradation-aware Visual-prior Alignment Network for Image Restoration

    Jun 17, 2026Yanjie Tu, Qingsen Yan, Axi Niu +3All-in-One Image RestorationImage Restoration

  18. Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

    Jun 17, 2026YuCheng Tang, Wen Yan, Alexander Ng +13Flow MatchingMagnetic Resonance Imaging

  19. Spiking Pyramid Wavelet Transformation for High-efficient and Low-energy Image Restoration

    Jun 17, 2026Chen Zhao, Xiantao Hu, Song Wu +5Efficient Neural Network InferenceWavelet Methods

  20. Universal Image Restoration via Internalized Chain-of-Thought Reasoning

    Jun 16, 2026Yu Guo, Zhengru Fang, Shengfeng He +4All-in-One Image RestorationImage Restoration

  21. SP3^3: Spherical Priors for Plug-and-Play Restoration

    Jun 15, 2026Sean Man, Ron Raphaeli, Matan Kleiner +1Image Restoration

  22. Towards UAV Image Dehazing: A UAV Atmospheric Scattering Model, Benchmark, and Geometry-Aware Deep Unfolding Network

    Jun 15, 2026Wenxuan Fang, Jiangwei Weng, Yu Zheng +5Image RestorationRemote Sensing Benchmarks

  23. Fi-Gaussian: Frequency-Aware Implicit Gaussian Splatting for Single Image Dehazing

    Jun 15, 2026Yuhan Chen, Ying Fang, Guofa Li +5Image RestorationGaussian Splatting

  24. Dehaze-GaussianImage: Zero-Shot Dehazing via Efficient 2D Gaussian Splatting Representation

    Jun 15, 2026Yuhan Chen, Wenxuan Yu, Guofa Li +5Image RestorationImage Dehazing

  25. The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results

    Jun 14, 2026Lei Sun, Hang Guo, Bin Ren +6Image RestorationImage Denoising

  26. CRIS: Cross-Plane Self-Supervised Isotropic Restoration for Anisotropic Volumetric Imaging Across Modalities

    Jun 14, 2026Adi Ahituv, Anat Ilivitzki, Moti FreimanSelf-Supervised LearningMedical Image Super-Resolution

  27. Fusing Transferred Priors and Physics-based Decomposition for Underwater Image Enhancement

    Jun 14, 2026Haochen Hu, Yanrui Bin, Zhengyan Zhang +3Underwater Image EnhancementUnderwater Imaging

  28. SPARK: Spatial Policy-driven Adaptive Reinforcement learning for Knowledge distillation

    Jun 13, 2026Mohamed Jismy Aashik Rasool, Shabir Ahmad, Gisong Oh +1RL for Knowledge DistillationQuantization-Aware Training

  29. Variational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image Enhancement

    Jun 10, 2026Daniel Torres, Julia Navarro, Catalina Sbert +1Underwater Image EnhancementUnderwater Imaging