📝 Publications
($*$ equal contribution, # corresponding author)
Conference
Image / Video Restoration
- FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration
Hao Li*, Xiang Chen*, Jiangxin Dong, Jinhui Tang, Jinshan Pan
ICCV, 2025. [project] [paper] [arxiv] [supplemental material]
- Learning A Sparse Transformer Network for Effective Image Deraining (Highlight)
Xiang Chen, Hao Li, Mingqiang Li, Jinshan Pan
CVPR, 2023. [pdf] [arxiv] [code]
- Hybrid CNN-Transformer Feature Fusion for Single Image Deraining (Oral)
Xiang Chen, Jinshan Pan, Jiyang Lu, Zhentao Fan, Hao Li
AAAI, 2023. [pdf] [code]
Journal
Image / Video Restoration
- Collaborative Feedback Discriminative Propagation for Video Super-Resolution
Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2026. [arxiv] [IEEE] [code]
- Real-World Image Super-Resolution by Exclusionary Dual-Learning
Hao Li, Jinghui Qin, Yukai Shi, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin
IEEE Transactions on Multimedia (T-MM), 2022. [arxiv] [IEEE] [code]
- Criteria Comparative Learning for Real-scene Image Super-Resolution
Yukai Shi*, Hao Li*, Sen Zhang, Zhijing Yang, Xiao Wang
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2022. [arxiv] [IEEE] [RealSR-Zero dataset] [code]
- DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
Hao Li, Zhijing Yang, Xiaobin Hong, Yukai Shi, Junyang Chen, Jinshan Pan
Knowledge-Based Systems (KBS), 2022. [arxiv] [pdf] [code]
- Progressive Representation Recalibration for Lightweight Super-resolution
Ruimian Wen, Zhijing Yang, Tianshui Chen, Hao Li, Kai Li
Neurocomputing, 2022. [pdf] [code]
Virtual Try-on
Preprint
