Caihua Kong — accepted AI-conference papers

2022

Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning

Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng +2

ECCV 2022poster

"We offer a practical unpaired learning based image dehazing network from an unpaired set of clear and hazy images. This paper provides a new perspective to treat image dehazing as a two-class separated factor disentanglement task, i.e, the task-relevant factor of clear image reconstruction and the…

Cited by 45 Source ↗PDF ↗Scholar ↗

2022

Unpaired Deep Image Deraining Using Dual Contrastive Learning

Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong +2

CVPR 2022poster

Learning single image deraining (SID) networks from an unpaired set of clean and rainy images is practical and valuable as acquiring paired real-world data is almost infeasible. However, without the paired data as the supervision, learning a SID network is challenging. Moreover, simply using existin…

Cited by 196 PDF ↗Scholar ↗