9 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2022
ResFormer: Scaling ViTs with Multi-Resolution Training
Rui Tian, Zuxuan Wu, Qi Dai +3
Vision Transformers (ViTs) have achieved overwhelming success, yet they suffer from vulnerable resolution scalability, i.e., the performance drops drastically when presented with i…
eess.IV2020★ 7 cited
Perceptual Extreme Super Resolution Network with Receptive Field Block
Taizhang Shang, Qiuju Dai, Shengchen Zhu +2
Perceptual Extreme Super-Resolution for single image is extremely difficult, because the texture details of different images vary greatly. To tackle this difficulty, we develop a s…
eess.IV2020★ 9 cited
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…