no code implementations • 3 Dec 2023 • Jun Xiang, Xuan Gao, Yudong Guo, Juyong Zhang
We propose FlashAvatar, a novel and lightweight 3D animatable avatar representation that could reconstruct a digital avatar from a short monocular video sequence in minutes and render high-fidelity photo-realistic images at 300FPS on a consumer-grade GPU.
no code implementations • 30 Nov 2023 • Haiyao Xiao, Chenglai Zhong, Xuan Gao, Yudong Guo, Juyong Zhang
Recently, text-guided digital portrait editing has attracted more and more attentions.
no code implementations • 3 Apr 2023 • Dingyun Zhang, Chenglai Zhong, Yudong Guo, Yang Hong, Juyong Zhang
Experiments validate that our controllable digital head engine achieves the state-of-the-art generation visual quality and reconstruction accuracy.
1 code implementation • 12 Oct 2022 • Xuan Gao, Chenglai Zhong, Jun Xiang, Yang Hong, Yudong Guo, Juyong Zhang
We present a novel semantic model for human head defined with neural radiance field.
no code implementations • 9 Jul 2021 • Xueying Wang, Yudong Guo, Zhongqi Yang, Juyong Zhang
Extensive ablation studies and comparisons with state-of-the-art methods demonstrate that our method can generate high-fidelity 3D head geometries with the guidance of these priors.
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 • ICCV 2021 • Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, Juyong Zhang
Generating high-fidelity talking head video by fitting with the input audio sequence is a challenging problem that receives considerable attentions recently.
1 code implementation • 20 Apr 2020 • Hongrui Cai, Yudong Guo, Zhuang Peng, Juyong Zhang
To this end, we first build a dataset with various styles of 2D caricatures and their corresponding 3D shapes, and then build a parametric model on vertex based deformation space for 3D caricature face.
1 code implementation • CVPR 2020 • Xueying Wang, Yudong Guo, Bailin Deng, Juyong Zhang
Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate geometry details.
no code implementations • 25 Sep 2019 • Zhongpai Gao, Juyong Zhang, Yudong Guo, Chao Ma, Guangtao Zhai, Xiaokang Yang
Moreover, the identity and expression representations are entangled in these models, which hurdles many facial editing applications.
no code implementations • 3 Jun 2019 • Yudong Guo, Luo Jiang, Lin Cai, Juyong Zhang
Caricature is an abstraction of a real person which distorts or exaggerates certain features, but still retains a likeness.
1 code implementation • 16 Aug 2018 • Yudong Guo, Lin Cai, Juyong Zhang
Although 3D scanned data contain accurate geometric information of face shapes, the capture system is expensive and such datasets usually contain a small number of subjects.
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.
no code implementations • 16 Oct 2016 • Asad Khan, Muhammad Ahmad, Yudong Guo, Ligang Liu
Our algorithm is not restricted to one-to-one image color transfer and can make use of more than one target images to transfer the color in different parts in the source image.