Geometry-Guided Image Restoration

Latest papers

15 papers0 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

DPC-Net: Dual-Prior Collaborative Network for All-in-One Image Restoration
Aug 20, 2026Zhaokun He, Kangbiao Shi, Axi Niu +4Geometry-Guided Image Restoration All-in-One Image Restoration
Northwestern Polytechnical University · Singapore Management University · Xi’an University of Architecture and Technology
MagnifiQ: Patch-aware Text Guided Progressive Upscaling for High-Resolution Image Restoration
Aug 14, 2026Mahesh Reddy, Yashesh Savani, Antoine Mercier +3Geometry-Guided Image Restoration Image Restoration
Qualcomm AI Research
A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise
Aug 5, 2026Shengkun Yang, Luca Ratti, Zhichang GuoImage Deblurring Image Restoration
School of Mathematics, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China. · Department of Mathematics, University of Bologna, Bologna, 40126, Emilia-Romagna, Italy.
CogSENet: Blind Image Deblurring with Blur-Conditioned Semantic Routing and Explicit Frequency Fusion
Jun 29, 2026Pan Wang, Yihao Hu, Xiujin LiuImage Deblurring Image Restoration
University of Science and Technology of China, Hefei, China · Westlake University, Hangzhou, China · University of Michigan, Ann Arbor, MI, USA
DeLux: Cross-Modal Local Artifact Restoration in Video Using Neuromorphic Data
Jun 25, 2026Bartosz Stachowiak, Dariusz BrzezinskiImage Restoration Image Inpainting
Institute of Computing Science, Poznan University of Technology, ul. Piotrowo 2, 60-965 Poznan, Poland
Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction
May 15, 2026Hao Yang, Xianping Ma, Peifeng Ma +1Semantic Communication Remote Sensing
aSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, Guangdong, China · bGeosciences and Engineering, Southwest Jiaotong University, Chengdu, 611756, China · cInstitute of Space and Earth Information Science and the Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
UniFixer: A Universal Reference-Guided Fixer for Diffusion-Based View Synthesis
May 12, 2026Sihan Chen, Xiang Zhang, Yang Zhang +2Diffusion Models for Image Restoration Novel View Synthesis
ETH Zürich, Switzerland · DisneyResearch|Studios, Switzerland
CFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement
Apr 20, 2026Pan Wang, Yihao Hu, Xiujin Liu +1Shadow Removal Image Restoration
University of Science and Technology of China Hefei, China · Ant Group Hangzhou, China · University of Michigan - Ann Arbor Ann Arbor, USA +1
LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion
Apr 14, 2026Clara Xue, Zizheng Yan, Zhenning Shi +5Geometry-Guided Image Restoration Image Restoration
vivo BlueImage Lab · College of Computer Science, Nankai University
RIRF: Reasoning Image Restoration Framework
Apr 10, 2026Wending Yan, Rongkai Zhang, Kaihua Tang +2Geometry-Guided Image Restoration Image Restoration
Southwest Jiaotong University, Chengdu, China · Nanyang Technological University, Singapore · Tongji University, Shanghai, China +2
Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration
Mar 31, 2026Fengyang Xiao, Peng Hu, Lei Xu +7Geometry-Guided Image Restoration Image Restoration
Duke University · Tsinghua University · EPFL
A2BFR: Attribute-Aware Blind Face Restoration
Mar 31, 2026Chenxin Zhu, Yushun Fang, Lu Liu +5Geometry-Guided Image Restoration Image Restoration
Shanghai Jiao Tong University, Shanghai, China · Xiaohongshu Inc., Shanghai, China
PhySe-RPO: Physics and Semantics Guided Relative Policy Optimization for Diffusion-Based Surgical Smoke Removal
Mar 24, 2026Zining Fang, Cheng Xue, Chunhui Liu +3Geometry-Guided Image Restoration Image Restoration
School of Computer Science and Engineering, Southeast University · Zhongda Hospital,Southeast University · School of Future Technology, South China University of Technology
Empowering Semantic-Sensitive Underwater Image Enhancement with VLM
Mar 13, 2026Guodong Fan, Shengning Zhou, Genji Yuan +3Geometry-Guided Image Restoration Image Enhancement
Shandong Technology and Business University, Yantai, China · Shandong University of Finance and Economics, Jinan, China · Dalian Maritime University, Dalian, China
TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration
Jan 28, 2026Yanjie Tu, Qingsen Yan, Axi Niu +1Geometry-Guided Image Restoration Image Restoration
School of Computer Science, Northwestern Polytechnical University, Xi’an, China · Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen, China.

Aug 20, 2026J/K move · Enter open · S save

DPC-Net: Dual-Prior Collaborative Network for All-in-One Image Restoration

Zhaokun He, Kangbiao Shi, Axi Niu, Jian Jin+3

Northwestern Polytechnical University · Singapore Management University · Xi’an University of Architecture and Technology

Geometry-Guided Image Restoration All-in-One Image Restoration Image Restoration

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All-in-One Image Restoration (AiOIR) aims to handle diverse degradations within a unified model. However, existing methods often overlook image semantics in degradation modeling and lack low-level visual priors during reconstruction, leading to structural distortions and semantic inconsistencies. To address these issues, we propose a novel Dual-Prior Collaborative Network (DPC-Net), which achieves high-quality restoration by jointly exploiting degradation-semantic coupled priors and low-level visual priors. Specifically, degraded images are fed into a Degradation-Aware Network (DAN) to extract degradation-semantic coupled features. To this end, a Vision-Language Model (VLM) supervises DAN by constraining its features distribution, introducing image semantics into the encoding of degradation patterns. A Degradation-Semantic Modulation Module (DSMM) further translates this guidance into degradation-semantic coupling and propagates coupled representations to the decoder. During decoding, knowledge bases provide low-level visual priors, and the Dual-Prior Collaborative Reconstruction Module (DPCR) integrates dual-prior information to guide degradation removal while preserving structure and semantics, producing high-fidelity restored images. Extensive experiments on multiple restoration benchmarks demonstrate that DPC-Net achieves superior performance against state-of-the-art AiOIR methods.