226 citations · 230 across the 5 of their papers we have counts for
5 papers
MVImgNet: A Large-scale Dataset of Multi-view Images
Xianggang Yu, Mutian Xu, Yidan Zhang +10
Being data-driven is one of the most iconic properties of deep learning algorithms. The birth of ImageNet drives a remarkable trend of "learning from large-scale data" in computer…
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors
Zhangyang Xiong, Di Kang, Derong Jin +4
Fast generation of high-quality 3D digital humans is important to a vast number of applications ranging from entertainment to professional concerns. Recent advances in differentiab…
PIFu for the Real World: A Self-supervised Framework to Reconstruct Dressed Human from Single-view Images
Zhangyang Xiong, Dong Du, Yushuang Wu +4
It is very challenging to accurately reconstruct sophisticated human geometry caused by various poses and garments from a single image. Recently, works based on pixel-aligned impli…
Learning Inverse Rendering of Faces from Real-world Videos
Yuda Qiu, Zhangyang Xiong, Kai Han +3
In this paper we examine the problem of inverse rendering of real face images. Existing methods decompose a face image into three components (albedo, normal, and illumination) by s…
Masked Face Recognition Dataset and Application
Zhongyuan Wang, Guangcheng Wang, Baojin Huang +11
In order to effectively prevent the spread of COVID-19 virus, almost everyone wears a mask during coronavirus epidemic. This almost makes conventional facial recognition technology…