8 citations · 11 across the 11 of their papers we have counts for
4 papers · 2 filters
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration
Hao Li, Xiang Chen, Jiangxin Dong +2
Despite the significant progress made by all-in-one models in universal image restoration, existing methods suffer from a generalization bottleneck in real-world scenarios, as they…
Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method
Hongming Chen, Xiang Chen, Chen Wu +3
Despite significant progress has been made in image deraining, existing approaches are mostly carried out on low-resolution images. The effectiveness of these methods on high-resol…
Collaborative Feedback Discriminative Propagation for Video Super-Resolution
Hao Li, Xiang Chen, Jiangxin Dong +2
The key success of existing video super-resolution (VSR) methods stems mainly from exploring spatial and temporal information, which is usually achieved by a recurrent propagation…
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
Xiang Chen, Jinshan Pan, Jiangxin Dong
How to effectively explore multi-scale representations of rain streaks is important for image deraining. In contrast to existing Transformer-based methods that depend mostly on sin…