167 citations · 553 across the 10 of their papers we have counts for
5 papers · 1 filter
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong +2
Hyperspectral imaging is an essential imaging modality for a wide range of applications, especially in remote sensing, agriculture, and medicine. Inspired by existing hyperspectral…
Memory-Augmented Deep Unfolding Network for Compressive Sensing
Jiechong Song, Bin Chen, Jian Zhang
Mapping a truncated optimization method into a deep neural network, deep unfolding network (DUN) has attracted growing attention in compressive sensing (CS) due to its good interpr…
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…
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
Di You, Jian Zhang, Jingfen Xie +2
Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and…
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
Di You, Jingfen Xie, Jian Zhang
While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene ima…