Query-Specific Degradation-Aware Representation

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Diff-RF: Mutually Reinforced Image Registration and Fusion via Degradation-Aware Learning
Sep 23, 2026Xunpeng Yi, Zaixi Du, Qinglong Yan +3Visible Image Fusion Query-Specific Degradation-Aware Representation
Electronic Information School, Wuhan University, Wuhan 430072, China
Breaking Weather-Content Coupling: Type-Severity Guided Progressive Disentanglement for All-in-One Infrared Restoration
Sep 23, 2026Xinyao Wang, Lijun He, Zhihan Ren +1Query-Specific Degradation-Aware Representation Weather Prediction
Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi, China
IT-TextFusion: Iterative Text-Image Interaction with Text-Guided Residual Refinement for Degradation-Aware Image Fusion
Sep 1, 2026Siyang Liu, Peiyi Zhou, Tianle Jin +3Visible Image Fusion Query-Specific Degradation-Aware Representation
Chair of Robotics, Artificial Intelligence and Real-time Systems, Technical University of Munich, Munich, Germany · School of Automation, Southeast University, Nanjing, China
CoRe-UIE: Rethinking Coexisting and Region-wise Degradation for Underwater Image Enhancement
Aug 10, 2026Weifeng Kong, Chenghao Xu, Lin Chen +2Underwater Image Enhancement Methods Query-Specific Degradation-Aware Representation
Hohai University Jiangsu, China
Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal
Aug 7, 2026Wanshu Fan, Yunzhe Zhang, Yue Shen +5Query-Specific Degradation-Aware Representation Visual Degradation
School of Software Engineering, Dalian University, Dalian, China · School of Mathematical Sciences, Dalian University of Technology, Dalian, China · The Hong Kong Polytechnic University, Hong Kong, China +2
Compass: Degradation-Simulated Reciprocal Learning with Lightweight Needle RWKV for Multimodal Crack Segmentation under Missing Modalities
Aug 4, 2026Hui Liu, Chen Jia, Fan Shi +3Missing Modalities Amodal Segmentation
Engineering Research Center of Learning-Based Intelligent System (Ministry of Education) Tianjin University of Technology Tianjin, China
Loop-Mamba: A Loop Mamba with Degradation-Aware and Shared Memory for Old Photo Restoration
Aug 3, 2026Runci Bai, Yucheng Xin, Pu Wang +8Query-Specific Degradation-Aware Representation Image Restoration
China Academy of Information and Communications Technology · Shandong Normal University · Shandong University +5
SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning
Aug 3, 2026Shengkai Hu, Jie Shao, Jiaqi Ma +5Query-Specific Degradation-Aware Representation Spiking Neural Networks
School of Information Engineering, Zhongnan University of Economics and Law, Wuhan, China · Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates · School of Computer Science, Wuhan University, Wuhan, China +1
Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations
Aug 1, 2026Axi Niu, Jieheng Li, Kang Zhang +3Visible Image Fusion Query-Specific Degradation-Aware Representation
School of Computer Science, Northwestern Polytechnical University, Xi'an, China · School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, China · School of Electrical Engineering, KAIST, Daejeon, Republic of Korea +2
DART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration
Jul 23, 2026Mikołaj Jastrzębski, Wojciech Kozłowski, Kamil AdamczewskiVideo Restoration Query-Specific Degradation-Aware Representation
Wrocław University of Science and Technology
DARA: Degradation-Aware Low-Rank Residual Adaptation with Original-to-Corrupted Distillation for Corruption-Robust Animal Re-Identification
Jul 18, 2026Cynthia Xie, Talia XuAnimal Re-Identification Re-Identification
The University of Auckland Auckland, New Zealand
QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration
Jul 16, 2026Shen Zhou, Jinghui Zhang, Wenbo Huang +7Image Restoration Query-Specific Degradation-Aware Representation
Southeast University Nanjing, China · Hainan University Hainan, China
PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation
Jun 29, 2026Tuan-Duc Nguyen, Anh-Tuan Mai, Duc-Trong LeSemi-Supervised Medical Image Segmentation Query-Specific Degradation-Aware Representation
FPT Software AI Center · VNU University of Engineering and Technology
Spatially Localized Image Degradation Embeddings for Image Quality Assessment
Jun 28, 2026Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2Query-Specific Degradation-Aware Representation Image Quality Assessment
The University of Texas at Austin · Meta Platforms, Inc. · University of Colorado Boulder
BiDeMem: Bidirectional Degradation Memory for Explainable Image Restoration
Jun 26, 2026Xinrui Wu, Lichen HuangQuery-Specific Degradation-Aware Representation Image Restoration
University of Electronic Science and Technology of China
Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction
Jun 25, 2026Xilai Li, Xiaosong Li, Haishu Tan +3Visible Image Fusion Query-Specific Degradation-Aware Representation
Foshan University, Foshan, China · China University of Mining and Technology, Beijing, China · Kunming University of Science and Technology, Kunming, China
DDTNet: Degradation Disentanglement and Transfer Network for Test-Time All-in-One De-weathering Adaptation
Jun 15, 2026Kuan-Hung Lin, Fu-Jen Tsai, Yan-Tsung Peng +3Query-Specific Degradation-Aware Representation Image Restoration
National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan · National Tsing Hua University, Hsinchu 300044, Taiwan · National Chengchi University, Taipei 116011, Taiwan +1
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
May 21, 2026Xiaolong Zhou, Yifei Liu, Ziyang Gong +8Stable Spatial Understanding Spatial Reasoning
2Shanghai Artificial Intelligence Laboratory · University of Electronic Science and Technology of China · 6Beihang University +4
Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts
May 12, 2026Eunho Lee, Rei Kawakami, Youngbae HwangImage Restoration Query-Specific Degradation-Aware Representation
Chungbuk National University, Cheongju 28644, Republic of Korea · Institute of Science Tokyo, Tokyo 152-8550, Japan
DegBins: Degradation-Driven Binning for Depth Super-Resolution
May 10, 2026Zhiqiang Yan, Zhengxue Wang, Jian Yang +1Generative Super-Resolution Query-Specific Degradation-Aware Representation
Department of Computer Science, National University of Singapore · Nanjing University of Science and Technology
Degradation-Aware Adaptive Context Gating for Unified Image Restoration
May 2, 2026Lei He, Jielei Chu, Fengmao Lv +4Query-Specific Degradation-Aware Representation Image Restoration
Breaking Degradation Coupling: A Structural Entropy Guided Decoupled Framework and Benchmark for Infrared Enhancement
Apr 24, 2026Pu Li, Huafeng Li, Yafei Zhang +2Query-Specific Degradation-Aware Representation Infrared
Faculty of Information Engineering and Automation, Kunming University of Science and Technology · Department of Biomedical Engineering, Hefei University of Technology · School of Mathematics and Statistics, Yunnan University
Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
Apr 23, 2026Zhen Zhang, Jielei Chu, Tian Zhang +5Query-Specific Degradation-Aware Representation Image Quality Assessment
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China · School of Physics, Northeast Normal University, Changchun 130024, China · School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China +2
Blind Quality Enhancement of Compressed Video via Fine-Grained Degradation-Guided Sequential Inference
Nov 20, 2025Li Yu, Yingbo Zhao, Shiyu Wu +3Query-Specific Degradation-Aware Representation Low-Light Image Enhancement
School of Computer Science, Nanjing University of Information Science & Technology, Nanjing, China, and also with Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, China · School of Computer Science, Nanjing University of Information Science & Technology, Nanjing, China · School of Software, Nanjing University of Information Science & Technology, Nanjing, China +3

Sep 23, 2026, cs.CVJ/K move · Enter open · S save

Diff-RF: Mutually Reinforced Image Registration and Fusion via Degradation-Aware Learning

Xunpeng Yi, Zaixi Du, Qinglong Yan, Yibing Zhang+2

Electronic Information School, Wuhan University, Wuhan 430072, China

Visible Image Fusion Query-Specific Degradation-Aware Representation Image Registration Fidelity Visual Cues

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Image registration and fusion aim to establish spatial correspondences from misaligned multi-modal source images, and integrate complementary information. However, in real-world imaging scenarios, source images are often affected by complex and diverse degradations, such as low illumination, noise, etc., which severely hinder the effectiveness of registration and fusion. To address this issue, we propose a mutually reinforced image registration and fusion diffusion framework via degradation-aware learning, termed Diff-RF. It explores the intrinsic coupling between registration-fusion and information restoration in the degradation conditions, enabling high-quality fusion of unregistered images under complex degradation conditions. First, the intra-modal restoration module is designed to alleviate modality-specific degradations by leveraging information within each modality, thereby providing more reliable structural representations for registration and facilitating subsequent cross-modal fusion. Second, we develop a cross-modal diffusion registration and fusion module that establishes bidirectional interaction between registration and fusion. By integrating fusion-derived visual cues and correspondence-based geometric conditions into the diffusion process, the proposed framework progressively refines spatial alignment and exploits cross-modal complementary information to achieve collaborative enhancement. Rather than treating them as independent components, degradation-aware information restoration and the collaborative optimization of registration and fusion are tightly coupled, achieving overall performance improvements. Extensive experiments on multiple extended datasets demonstrate that Diff-RF achieves superior registration accuracy and fusion quality under various degraded scenarios, exhibiting strong robustness and generalization ability.

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