419 citations · 777 across the 33 of their papers we have counts for
5 papers · 1 filter
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
Wenlong Cheng, Mingbo Zhao, Zhiling Ye +1
Generative adversarial networks (GANs) have promoted remarkable advances in single-image super-resolution (SR) by recovering photo-realistic images. However, high memory consumptio…
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 (…
Improving Facial Attribute Recognition by Group and Graph Learning
Zhenghao Chen, Shuhang Gu, Feng Zhu +2
Exploiting the relationships between attributes is a key challenge for improving multiple facial attribute recognition. In this work, we are concerned with two types of correlation…
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Andres Romero, Heewon Kim +28
Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services. While many solutions hav…
Flow-based Kernel Prior with Application to Blind Super-Resolution
Jingyun Liang, Kai Zhang, Shuhang Gu +2
Kernel estimation is generally one of the key problems for blind image super-resolution (SR). Recently, Double-DIP proposes to model the kernel via a network architecture prior, wh…