Xiang Chen (陈 翔)

Ph.D. Candidate

School of Computer Science and Engineering
Nanjing University of Science and Technology

Email: chenxiang@njust.edu.cn
[Google Scholar] [Github] [ORCID] [DBLP]

Towards Unified Deep Image Deraining: A Survey and A New Benchmark

Xiang Chen, Jinshan Pan*, Jiangxin Dong, Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
[Paper] [Project] [Code]

FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration

Hao Li^, Xiang Chen^, Jiangxin Dong, Jinhui Tang, Jinshan Pan*
IEEE International Conference on Computer Vision (ICCV), 2025.
[Paper] [Code]

Rethinking Nighttime Image Deraining via Learnable Color Space Transformation

Qiyuan Guan^, Xiang Chen^, Jiyu Jin*, Guiyue Jin, Shumin Fan, Tianyu Song, Jinshan Pan
Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
[Paper] [Code]

Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method

Hongming Chen^, Xiang Chen^, Chen Wu, Zhuoran Zheng, Jinshan Pan, Xianping Fu*
IEEE Transactions on Multimedia (TMM), 2025.
[Paper] [Code]

DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments

Shuhong Liu, Xiang Chen, Hongming Chen, Quanfeng Xu, Mingrui Li*
AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper] [Project] [Code]

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 (TPAMI), 2025 (Minor Revision).
[Paper] [Code]

WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration

Qiyuan Guan^, Qianfeng Yang^, Xiang Chen^, Tianyu Song, Guiyue Jin, Jiyu Jin*
ACM International Conference on Multimedia (ACM MM), 2025 (Datasets Track).
[Paper] [Code]

DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining

Shuning Sun, Jialang Lu, Xiang Chen, Jichao Wang, Dianjie Lu, Guijuan Zhang, Guangwei Gao, Zhuoran Zheng*
arXiv:2509.21719 (arXiv), 2025.
[Paper] [Code]

Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video

Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li*, Jian Yang*
AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper] [Code]

SmokeBench: A Real-World Dataset for Surveillance Image Desmoking in Early-Stage Fire Scenes

Wenzhuo Jin^, Qianfeng Yang^, Xianhao Wu^, Hongming Chen, Pengpeng Li, Xiang Chen*
ACM International Conference on Multimedia (ACM MM), 2025 (Datasets Track).
[Paper] [Code]

Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining

Xiang Chen, Jinshan Pan*, Jiangxin Dong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper][Code]

Rethinking Multi-Scale Representations in Deep Deraining Transformer

Hongming Chen, Xiang Chen*, Jiyang Lu, Yufeng Li*
AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Paper][Code]

Learning A Spiking Neural Network for Efficient Image Deraining

Tianyu Song, Guiyue Jin, Pengpeng Li, Kui Jiang, Xiang Chen, Jiyu Jin*
International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[Paper][Code]

Learning A Sparse Transformer Network for Effective Image Deraining

Xiang Chen, Hao Li, Mingqiang Li, Jinshan Pan*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper] [Code]

Hybrid CNN-Transformer Feature Fusion for Single Image Deraining

Xiang Chen, Jinshan Pan*, Jiyang Lu, Zhentao Fan, Hao Li
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[Paper] [Code]

Unpaired Deep Image Deraining Using Dual Contrastive Learning

Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li*, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]

Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning

Xiang Chen^, Zhentao Fan^, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li*
European Conference on Computer Vision (ECCV), 2022.
[Paper] [Code]