20 citations · 49 across the 7 of their papers we have counts for
5 papers · 1 filter
Structure-preserving Feature Alignment for Old Photo Colorization
Yingxue Pang, Xin Jin, Jun Fu +1
Deep learning techniques have made significant advancements in reference-based colorization by training on large-scale datasets. However, directly applying these methods to the tas…
Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Xin Li, Xin Jin, Tao Yu +4
Traditional single image super-resolution (SISR) methods that focus on solving single and uniform degradation (i.e., bicubic down-sampling), typically suffer from poor performance…
Image-to-Image Translation: Methods and Applications
Yingxue Pang, Jianxin Lin, Tao Qin +1
Image-to-image translation (I2I) aims to transfer images from a source domain to a target domain while preserving the content representations. I2I has drawn increasing attention an…
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
Jianxin Lin, Yingxue Pang, Yingce Xia +2
An unsupervised image-to-image translation (UI2I) task deals with learning a mapping between two domains without paired images. While existing UI2I methods usually require numerous…