activity
20192022
most citedDiverse Image Inpainting with Bidirectional and Autoregressive Transformers

15 citations · 71 across the 13 of their papers we have counts for

collaborators

19 papers

cs.CV20221 cited

Improving Training and Inference of Face Recognition Models via Random Temperature Scaling

Lei Shang, Mouxiao Huang, Wu Shi +6

Data uncertainty is commonly observed in the images for face recognition (FR). However, deep learning algorithms often make predictions with high confidence even for uncertain or i…

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…

cs.CV2022

Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition

Tao Yang, Peiran Ren, Xuansong Xie +2

Video frame interpolation (VFI) aims to improve the temporal resolution of a video sequence. Most of the existing deep learning based VFI methods adopt off-the-shelf optical flow a…

cs.CV2022

Structure-Aware Flow Generation for Human Body Reshaping

Jianqiang Ren, Yuan Yao, Biwen Lei +2

Body reshaping is an important procedure in portrait photo retouching. Due to the complicated structure and multifarious appearance of human bodies, existing methods either fall ba…

cs.CV20218 cited

WaveFill: A Wavelet-based Generation Network for Image Inpainting

Yingchen Yu, Fangneng Zhan, Shijian Lu +4

Image inpainting aims to complete the missing or corrupted regions of images with realistic contents. The prevalent approaches adopt a hybrid objective of reconstruction and percep…

cs.CV2021

Sparse Needlets for Lighting Estimation with Spherical Transport Loss

Fangneng Zhan, Changgong Zhang, Wenbo Hu +4

Accurate lighting estimation is challenging yet critical to many computer vision and computer graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model…