no code implementations • ICCV 2023 • Changfeng Yu, Shiming Chen, Yi Chang, Yibing Song, Luxin Yan
To solve this dilemma, we propose a physical alignment and controllable generation network (PCGNet) for diverse and realistic rain generation.
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.
no code implementations • 25 Mar 2022 • Changfeng Yu, Yi Chang, Yi Li, XiLe Zhao, Luxin Yan
Consequently, we design an optimization model-driven deep CNN in which the unsupervised loss function of the optimization model is enforced on the proposed network for better generalization.
1 code implementation • CVPR 2022 • Yi Li, Yi Chang, Yan Gao, Changfeng Yu, Luxin Yan
Consequently, we perform inter-domain adaptation between the synthetic and real images by mutually exchanging the background and other two components.
no code implementations • 23 Oct 2020 • Changfeng Yu, Cheng Zhang, Jie Wang
Accurate extraction of body text from PDF-formatted academic documents is essential in text-mining applications for deeper semantic understandings.