85 citations · 93 across the 5 of their papers we have counts for
5 papers
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…
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Meisong Zheng +75
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Xintao Wang, Liangbin Xie, Chao Dong +1
Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general rea…
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Liangbin Xie, Xintao Wang, Chao Dong +2
Recent blind super-resolution (SR) methods typically consist of two branches, one for degradation prediction and the other for conditional restoration. However, our experiments sho…
Enhanced Quadratic Video Interpolation
Yihao Liu, Liangbin Xie, Li Siyao +3
With the prosperity of digital video industry, video frame interpolation has arisen continuous attention in computer vision community and become a new upsurge in industry. Many lea…