no code implementations • 18 Mar 2024 • Howard Zhang, Yunhao Ba, Ethan Yang, Rishi Upadhyay, Alex Wong, Achuta Kadambi, Yun Guo, Xueyao Xiao, Xiaoxiong Wang, Yi Li, Yi Chang, Luxin Yan, Chaochao Zheng, Luping Wang, Bin Liu, Sunder Ali Khowaja, Jiseok Yoon, Ik-Hyun Lee, Zhao Zhang, Yanyan Wei, Jiahuan Ren, Suiyi Zhao, Huan Zheng
This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023.
1 code implementation • ICCV 2023 • Yun Guo, Xueyao Xiao, Yi Chang, Shumin Deng, Luxin Yan
Learning-based image deraining methods have made great progress.
1 code implementation • 26 Jun 2023 • Yun Guo, Wei Feng, Zheng Zhang, Xiancong Ren, Yaoyu Li, Jingjing Lv, Xin Zhu, Zhangang Lin, Jingping Shao
Product image segmentation is vital in e-commerce.
1 code implementation • 13 May 2023 • Yun Guo, Xueyao Xiao, Xiaoxiong Wang, Yi Li, Yi Chang, Luxin Yan
Secondly, a transformer-based single image deraining network Uformer is implemented to pre-train on large real rain dataset and then fine-tuned on pseudo GT to further improve image restoration.
no code implementations • 2 Nov 2022 • Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, XiLe Zhao, Luxin Yan, Yonghong Tian
In addition, considering that the existing real rain datasets are of low quality, either small scale or downloaded from the internet, we collect a real large-scale dataset under various rainy kinds of weather that contains high-resolution rainy images.