43 citations · 58 across the 6 of their papers we have counts for
8 papers
Residual Local Feature Network for Efficient Super-Resolution
Fangyuan Kong, Mingxi Li, Songwei Liu +5
Deep learning based approaches has achieved great performance in single image super-resolution (SISR). However, recent advances in efficient super-resolution focus on reducing the…
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors
Jingwen He, Wu Shi, Kai Chen +2
Face image super resolution (face hallucination) usually relies on facial priors to restore realistic details and preserve identity information. Recent advances can achieve impress…
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…
Efficient Image Super-Resolution Using Pixel Attention
Hengyuan Zhao, Xiangtao Kong, Jingwen He +2
This work aims at designing a lightweight convolutional neural network for image super resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective ne…
Conditional Sequential Modulation for Efficient Global Image Retouching
Jingwen He, Yihao Liu, Yu Qiao +1
Photo retouching aims at enhancing the aesthetic visual quality of images that suffer from photographic defects such as over/under exposure, poor contrast, inharmonious saturation.…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…