95 citations · 115 across the 3 of their papers we have counts for
4 papers
Deep Generalized Unfolding Networks for Image Restoration
Chong Mou, Qian Wang, Jian Zhang
Deep neural networks (DNN) have achieved great success in image restoration. However, most DNN methods are designed as a black box, lacking transparency and interpretability. Altho…
Dynamic Attentive Graph Learning for Image Restoration
Chong Mou, Jian Zhang, Zhuoyuan Wu
Non-local self-similarity in natural images has been verified to be an effective prior for image restoration. However, most existing deep non-local methods assign a fixed number of…
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
Zhuoyuan Wu, Jian Zhang, Chong Mou
Snapshot compressive imaging (SCI) aims to record three-dimensional signals via a two-dimensional camera. For the sake of building a fast and accurate SCI recovery algorithm, we in…
COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou, Jian Zhang, Xiaopeng Fan +2
Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods…