no code implementations • 4 Sep 2023 • Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Yuanjian Qiao, WangMeng Zuo, Deyu Meng
To empower the framework for eliminating diverse degradations, we devise a Sequence-wise Adaptive Degradation Estimator (SADE) to estimate degradation features for the input corrupted video.
no code implementations • 15 Jul 2023 • Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Chao Wang
With the two cascaded subtasks, DRM-IR first dynamically models the task-specific degradation based on a reference image pair and further restores the image with the collected degradation statistics.
no code implementations • 9 Aug 2021 • Yecong Wan, Yuanshuo Cheng, Mingwen Shao
First, we proposed a novel entangled network, namely EMNet, which can remove the rain and enhance illumination in one go.