no code implementations • CVPR 2021 • Huiwen Luo, Koki Nagano, Han-Wei Kung, Mclean Goldwhite, Qingguo Xu, Zejian Wang, Lingyu Wei, Liwen Hu, Hao Li
Cutting-edge 3D face reconstruction methods use non-linear morphable face models combined with GAN-based decoders to capture the likeness and details of a person but fail to produce neutral head models with unshaded albedo textures which is critical for creating relightable and animation-friendly avatars for integration in virtual environments.
no code implementations • ECCV 2018 • Lingyu Wei, Liwen Hu, Vladimir Kim, Ersin Yumer, Hao Li
To handle the diversity of hairstyles and its appearance complexity, we disentangle hair structure, color, and illumination properties using a sequential GAN architecture and a semi-supervised training approach.
1 code implementation • CVPR 2017 • Shunsuke Saito, Lingyu Wei, Liwen Hu, Koki Nagano, Hao Li
We present a data-driven inference method that can synthesize a photorealistic texture map of a complete 3D face model given a partial 2D view of a person in the wild.
no code implementations • 11 Apr 2016 • Ruizhe Wang, Lingyu Wei, Etienne Vouga, Qi-Xing Huang, Duygu Ceylan, Gerard Medioni, Hao Li
We present an end-to-end system for reconstructing complete watertight and textured models of moving subjects such as clothed humans and animals, using only three or four handheld sensors.
no code implementations • CVPR 2016 • Lingyu Wei, Qi-Xing Huang, Duygu Ceylan, Etienne Vouga, Hao Li
We propose a deep learning approach for finding dense correspondences between 3D scans of people.