Cover Image

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Wenbo, Wang, Zhongling, Wang, Zhou
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation
by: Wang, Zhongling, et al.
Published: (2026)

Automated Disentangling Analysis of Skin Colour for Lesion Images
by: Yang, Wenbo, et al.
Published: (2026)

Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution
by: Yuan, Jiang, et al.
Published: (2024)

Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution
by: Zhao, Zhicheng, et al.
Published: (2024)

Physics-Inspired Degradation Models for Hyperspectral Image Fusion
by: Lian, Jie, et al.
Published: (2024)

Degradation-Aware Metric Prompting for Hyperspectral Image Restoration
by: Wang, Binfeng, et al.
Published: (2025)

Latent Degradation Representation Constraint for Single Image Deraining
by: He, Yuhong, et al.
Published: (2023)

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion
by: Yan, Zhiqiang, et al.
Published: (2024)

Learning the Degradation Distribution for Blind Image Super-Resolution
by: Luo, Zhengxiong, et al.
Published: (2022)

Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement
by: He, Jinhong, et al.
Published: (2025)

Degradation-Aware Blur-Segmentation of Brain Tumor
by: Wang, Yuchun, et al.
Published: (2026)

Architectural Unification for Polarimetric Imaging Across Multiple Degradations
by: Zhou, Chu, et al.
Published: (2026)

LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
by: Yuan, Jiang, et al.
Published: (2025)

CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image
by: Tang, Xiaojun, et al.
Published: (2025)

Unsupervised Real-World Super-Resolution via Rectified Flow Degradation Modelling
by: Zhou, Hongyang, et al.
Published: (2025)

Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
by: Lu, Shao-Hao, et al.
Published: (2025)

Spatially-Variant Degradation Model for Dataset-free Super-resolution
by: Guo, Shaojie, et al.
Published: (2024)

Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
by: Wang, Huake, et al.
Published: (2023)

Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning
by: Lu, Yi, et al.
Published: (2023)

Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution
by: Ito, Ru, et al.
Published: (2025)

Blind Super Resolution with Reference Images and Implicit Degradation Representation
by: Do, Huu-Phu, et al.
Published: (2025)

Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
by: Cui, Han, et al.
Published: (2024)

CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
by: Liu, Qingguo, et al.
Published: (2024)

Knowledge Distillation for Image Restoration : Simultaneous Learning from Degraded and Clean Images
by: Zhang, Yongheng, et al.
Published: (2025)

DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement
by: Huang, Chang, et al.
Published: (2025)

Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns
by: Tie, Yiyang, et al.
Published: (2025)

Optimal Transport Based Unsupervised Restoration Learning Exploiting Degradation Sparsity
by: Wen, Fei, et al.
Published: (2023)

Degradation Alchemy: Self-Supervised Unknown-to-Known Transformation for Blind Hyperspectral Image Fusion
by: Huang, He, et al.
Published: (2025)

Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
by: Li, Yuansheng, et al.
Published: (2025)

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations
by: Wen, Weilei, et al.
Published: (2025)

RobustSAM: Segment Anything Robustly on Degraded Images
by: Chen, Wei-Ting, et al.
Published: (2024)

Effects of Degradations on Deep Neural Network Architectures
by: Roy, Prasun, et al.
Published: (2018)

Compositional-Degradation UAV Image Restoration: Conditional Decoupled MoE Network and A Benchmark
by: Yan, Jinquan, et al.
Published: (2026)

IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement
by: Singh, Pranjali, et al.
Published: (2024)

Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content
by: Venkataramanan, Abhinau K., et al.
Published: (2024)

Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the Dark
by: Lin, Xin, et al.
Published: (2023)

Blind Ultrasound Image Enhancement via Self-Supervised Physics-Guided Degradation Modeling
by: Khan, Shujaat, et al.
Published: (2026)

Self-Supervised Enhancement of Forward-Looking Sonar Images: Bridging Cross-Modal Degradation Gaps through Feature Space Transformation and Multi-Frame Fusion
by: Zhang, Zhisheng, et al.
Published: (2025)

Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning
by: Wu, Junhao, et al.
Published: (2025)

F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt Tuning
by: Li, Wei, et al.
Published: (2025)