167 citations · 224 across the 6 of their papers we have counts for
5 papers · 1 filter
VQ-Jarvis: Retrieval-Augmented Video Restoration Agent with Sharp Vision and Fast Thought
Xuanyu Zhang, Weiqi Li, Qunliang Xing +6
Video restoration in real-world scenarios is challenged by heterogeneous degradations, where static architectures and fixed inference pipelines often fail to generalize. Recent age…
UARE: A Unified Vision-Language Model for Image Quality Assessment, Restoration, and Enhancement
Weiqi Li, Xuanyu Zhang, Bin Chen +7
Image quality assessment (IQA) and image restoration are fundamental problems in low-level vision. Although IQA and restoration are closely connected conceptually, most existing wo…
Deep Physics-Guided Unrolling Generalization for Compressed Sensing
Bin Chen, Jiechong Song, Jingfen Xie +1
By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable image reconstruction. It has attra…
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…