Saved in:
| Main Authors: | Cao, Shuo, Liu, Yihao, Zhang, Wenlong, Qiao, Yu, Dong, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.12273 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Preliminary Exploration Towards General Image Restoration
by: Kong, Xiangtao, et al.
Published: (2024)
by: Kong, Xiangtao, et al.
Published: (2024)
HAT: Hybrid Attention Transformer for Image Restoration
by: Chen, Xiangyu, et al.
Published: (2023)
by: Chen, Xiangyu, et al.
Published: (2023)
DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations
by: Li, Xiaohui, et al.
Published: (2025)
by: Li, Xiaohui, et al.
Published: (2025)
A Comparative Study of Image Restoration Networks for General Backbone Network Design
by: Chen, Xiangyu, et al.
Published: (2023)
by: Chen, Xiangyu, et al.
Published: (2023)
Efficient Degradation-aware Any Image Restoration
by: Zamfir, Eduard, et al.
Published: (2024)
by: Zamfir, Eduard, et al.
Published: (2024)
VL-UR: Vision-Language-guided Universal Restoration of Images Degraded by Adverse Weather Conditions
by: Liu, Ziyan, et al.
Published: (2025)
by: Liu, Ziyan, et al.
Published: (2025)
M3D-Stereo: A Multiple-Medium and Multiple-Degradation Dataset for Stereo Image Restoration
by: Yang, Deqing, et al.
Published: (2026)
by: Yang, Deqing, et al.
Published: (2026)
Exploring Scalable Unified Modeling for General Low-Level Vision
by: Chen, Xiangyu, et al.
Published: (2025)
by: Chen, Xiangyu, et al.
Published: (2025)
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
by: Mao, Jiawei, et al.
Published: (2024)
by: Mao, Jiawei, et al.
Published: (2024)
DACESR: Degradation-Aware Conditional Embedding for Real-World Image Super-Resolution
by: Lei, Xiaoyan, et al.
Published: (2026)
by: Lei, Xiaoyan, et al.
Published: (2026)
Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations
by: Yue, Yufeng, et al.
Published: (2024)
by: Yue, Yufeng, et al.
Published: (2024)
Unleashing Degradation-Carrying Features in Symmetric U-Net: Simpler and Stronger Baselines for All-in-One Image Restoration
by: Jiao, Wenlong, et al.
Published: (2025)
by: Jiao, Wenlong, et al.
Published: (2025)
OneRestore: A Universal Restoration Framework for Composite Degradation
by: Guo, Yu, et al.
Published: (2024)
by: Guo, Yu, et al.
Published: (2024)
Learning A Low-Level Vision Generalist via Visual Task Prompt
by: Chen, Xiangyu, et al.
Published: (2024)
by: Chen, Xiangyu, et al.
Published: (2024)
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
by: Lin, Jingbo, et al.
Published: (2024)
by: Lin, Jingbo, et al.
Published: (2024)
Invert2Restore: Zero-Shot Degradation-Blind Image Restoration
by: Chihaoui, Hamadi, et al.
Published: (2025)
by: Chihaoui, Hamadi, et al.
Published: (2025)
Degradation-Aware Adaptive Context Gating for Unified Image Restoration
by: He, Lei, et al.
Published: (2026)
by: He, Lei, et al.
Published: (2026)
Improving Image Restoration through Removing Degradations in Textual Representations
by: Lin, Jingbo, et al.
Published: (2023)
by: Lin, Jingbo, et al.
Published: (2023)
Bridging Degradation Discrimination and Generation for Universal Image Restoration
by: Hu, JiaKui, et al.
Published: (2026)
by: Hu, JiaKui, et al.
Published: (2026)
UniRes: Universal Image Restoration for Complex Degradations
by: Zhou, Mo, et al.
Published: (2025)
by: Zhou, Mo, et al.
Published: (2025)
Degradation-Aware Feature Perturbation for All-in-One Image Restoration
by: Tian, Xiangpeng, et al.
Published: (2025)
by: Tian, Xiangpeng, et al.
Published: (2025)
MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
by: Zhu, Ruoxi, et al.
Published: (2024)
by: Zhu, Ruoxi, et al.
Published: (2024)
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
by: Zhang, Xu, et al.
Published: (2024)
by: Zhang, Xu, et al.
Published: (2024)
Degradation-Robust Fusion: An Efficient Degradation-Aware Diffusion Framework for Multimodal Image Fusion in Arbitrary Degradation Scenarios
by: Shi, Yu, et al.
Published: (2026)
by: Shi, Yu, et al.
Published: (2026)
PhyDAE: Physics-Guided Degradation-Adaptive Experts for All-in-One Remote Sensing Image Restoration
by: Dong, Zhe, et al.
Published: (2025)
by: Dong, Zhe, et al.
Published: (2025)
Test-Time Degradation Adaptation for Open-Set Image Restoration
by: Gou, Yuanbiao, et al.
Published: (2023)
by: Gou, Yuanbiao, et al.
Published: (2023)
Neural Degradation Representation Learning for All-In-One Image Restoration
by: Yao, Mingde, et al.
Published: (2023)
by: Yao, Mingde, et al.
Published: (2023)
Dynamic Degradation Decomposition Network for All-in-One Image Restoration
by: Wang, Huiqiang, et al.
Published: (2025)
by: Wang, Huiqiang, et al.
Published: (2025)
Universal Image Restoration Pre-training via Degradation Classification
by: Hu, JiaKui, et al.
Published: (2025)
by: Hu, JiaKui, et al.
Published: (2025)
MetaWeather: Few-Shot Weather-Degraded Image Restoration
by: Kim, Youngrae, et al.
Published: (2023)
by: Kim, Youngrae, et al.
Published: (2023)
UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration
by: He, Chunming, et al.
Published: (2025)
by: He, Chunming, et al.
Published: (2025)
An Intelligent Agentic System for Complex Image Restoration Problems
by: Zhu, Kaiwen, et al.
Published: (2024)
by: Zhu, Kaiwen, et al.
Published: (2024)
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
by: Wu, Gang, et al.
Published: (2025)
by: Wu, Gang, et al.
Published: (2025)
VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
by: Shao, Qianyi, et al.
Published: (2025)
by: Shao, Qianyi, et al.
Published: (2025)
Degradation-Aware Metric Prompting for Hyperspectral Image Restoration
by: Wang, Binfeng, et al.
Published: (2025)
by: Wang, Binfeng, et al.
Published: (2025)
DualX-VSR: Dual Axial Spatial$\times$Temporal Transformer for Real-World Video Super-Resolution without Motion Compensation
by: Cao, Shuo, et al.
Published: (2025)
by: Cao, Shuo, et al.
Published: (2025)
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations
by: Mandal, Debabrata, et al.
Published: (2025)
by: Mandal, Debabrata, et al.
Published: (2025)
Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation
by: Zu, Wenqiang, et al.
Published: (2025)
by: Zu, Wenqiang, et al.
Published: (2025)
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
by: Chen, Zida, et al.
Published: (2024)
by: Chen, Zida, et al.
Published: (2024)
Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
by: Kong, Xiangtao, et al.
Published: (2024)
by: Kong, Xiangtao, et al.
Published: (2024)
Similar Items
-
A Preliminary Exploration Towards General Image Restoration
by: Kong, Xiangtao, et al.
Published: (2024) -
HAT: Hybrid Attention Transformer for Image Restoration
by: Chen, Xiangyu, et al.
Published: (2023) -
DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations
by: Li, Xiaohui, et al.
Published: (2025) -
A Comparative Study of Image Restoration Networks for General Backbone Network Design
by: Chen, Xiangyu, et al.
Published: (2023) -
Efficient Degradation-aware Any Image Restoration
by: Zamfir, Eduard, et al.
Published: (2024)