activity
20202022
most citedImage Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric

31 citations · 49 across the 7 of their papers we have counts for

collaborators

8 papers

eess.IV20228 cited

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…

eess.IV2022

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

Jinjin Gu, Haoming Cai, Chenyu Dong +4

Rendering high-resolution (HR) graphics brings substantial computational costs. Efficient graphics super-resolution (SR) methods may achieve HR rendering with small computing resou…

cs.CV2022

Blueprint Separable Residual Network for Efficient Image Super-Resolution

Zheyuan Li, Yingqi Liu, Xiangyu Chen +4

Recent advances in single image super-resolution (SISR) have achieved extraordinary performance, but the computational cost is too heavy to apply in edge devices. To alleviate this…

cs.CV2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li, Kai Zhang, Radu Timofte +108

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…

eess.IV2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Jinjin Gu, Haoming Cai, Chao Dong +47

This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…

cs.CV2021

Toward Interactive Modulation for Photo-Realistic Image Restoration

Haoming Cai, Jingwen He, Qiao Yu +1

Modulating image restoration level aims to generate a restored image by altering a factor that represents the restoration strength. Previous works mainly focused on optimizing the…