Search Results for author: XiLe Zhao

Found 4 papers, 0 papers with code

Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity

no code implementations2 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.

Contrastive Learning Rain Removal

Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior

no code implementations9 Oct 2022 Xiaole Tang, XiLe Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng

To address this challenge, we suggest a dataset-free deep residual prior for the kernel induced error (termed as residual) expressed by a customized untrained deep neural network, which allows us to flexibly adapt to different blurs and images in real scenarios.

Deblurring Image Deblurring

Unsupervised Image Deraining: Optimization Model Driven Deep CNN

no code implementations25 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.

Rain Removal

Non-Local Robust Quaternion Matrix Completion for Color Images and Videos Inpainting

no code implementations17 Nov 2020 Zhigang Jia, Qiyu Jin, Michael K. Ng, XiLe Zhao

A new patch group based NSS prior scheme is proposed to learn explicit NSS models of natural color images.

Matrix Completion SSIM +1

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