1 code implementation • CVPR 2022 • Boyi Jiang, Yang Hong, Hujun Bao, Juyong Zhang
Meanwhile, the explicit mesh is updated periodically to adjust its topology changes, and a consistency loss is designed to match both representations.
1 code implementation • CVPR 2021 • Yang Hong, Juyong Zhang, Boyi Jiang, Yudong Guo, Ligang Liu, Hujun Bao
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images.
1 code implementation • ECCV 2020 • Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao
In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image.
1 code implementation • 14 May 2019 • Boyi Jiang, Juyong Zhang, Jianfei Cai, Jianmin Zheng
Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space.
no code implementations • 9 Aug 2017 • Boyi Jiang, Juyong Zhang, Bailin Deng, Yudong Guo, Ligang Liu
The deep face feature (DFF) is trained using correspondence between face images rendered from different views.
no code implementations • 3 Aug 2017 • Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang, Jianmin Zheng
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images.