85 citations · 713 across the 54 of their papers we have counts for
5 papers · 2 filters
Efficient Image Super-Resolution using Vast-Receptive-Field Attention
Lin Zhou, Haoming Cai, Jinjin Gu +5
The attention mechanism plays a pivotal role in designing advanced super-resolution (SR) networks. In this work, we design an efficient SR network by improving the attention mechan…
UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network
Xina Liu, Jinfan Hu, Xiangyu Chen +1
Under-Display Camera (UDC) has been widely exploited to help smartphones realize full screen display. However, as the screen could inevitably affect the light propagation process,…
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds
Wenlong Zhang, Guangyuan Shi, Yihao Liu +2
Degradation models play an important role in Blind super-resolution (SR). The classical degradation model, which mainly involves blur degradation, is too simple to simulate real-wo…
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution
Liangbin Xie. Xintao Wang, Honglun Zhang, Chao Dong +1
Most of the existing video face super-resolution (VFSR) methods are trained and evaluated on VoxCeleb1, which is designed specifically for speaker identification and the frames in…
Activating More Pixels in Image Super-Resolution Transformer
Xiangyu Chen, Xintao Wang, Jiantao Zhou +2
Transformer-based methods have shown impressive performance in low-level vision tasks, such as image super-resolution. However, we find that these networks can only utilize a limit…