activity
20182022
most citedSESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

11 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2022

Intelligent Painter: Picture Composition With Resampling Diffusion Model

Wing-Fung Ku, Wan-Chi Siu, Xi Cheng +1

Have you ever thought that you can be an intelligent painter? This means that you can paint a picture with a few expected objects in mind, or with a desirable scene. This is differ…

eess.IV2021

Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution

Xi Cheng, Jun Li, Qiang Dai +2

Structured illumination microscopy (SIM) is an important super-resolution based microscopy technique that breaks the diffraction limit and enhances optical microscopy systems. With…

cs.CV2020★ 3 cited

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Shanxin Yuan, Radu Timofte, Ales Leonardis +43

This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…

eess.IV2019★ 3 cited

AIM 2019 Challenge on Image Demoireing: Methods and Results

Shanxin Yuan, Radu Timofte, Gregory Slabaugh +25

This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper desc…

cs.CV2019

Multi-scale Dynamic Feature Encoding Network for Image Demoireing

Xi Cheng, Zhenyong Fu, Jian Yang

The prevalence of digital sensors, such as digital cameras and mobile phones, simplifies the acquisition of photos. Digital sensors, however, suffer from producing Moire when photo…

cs.CV2018★ 1 cited

Triple Attention Mixed Link Network for Single Image Super Resolution

Xi Cheng, Xiang Li, Jian Yang

Single image super resolution is of great importance as a low-level computer vision task. Recent approaches with deep convolutional neural networks have achieved im-pressive perfor…