no code implementations • 21 Feb 2023 • Pengda Xiang, Sitao Xiang, Yajie Zhao
Can we customize a deep generative model which can generate images that can match the texture of some given image?
1 code implementation • ICCV 2021 • Sitao Xiang, Yuming Gu, Pengda Xiang, Menglei Chai, Hao Li, Yajie Zhao, Mingming He
In this paper, we adopt a general setting where all factors that are hard to label or identify are encapsulated as a single unknown factor.
no code implementations • 26 Apr 2020 • Sitao Xiang, Yuming Gu, Pengda Xiang, Mingming He, Koki Nagano, Haiwei Chen, Hao Li
This is achieved by a novel landmark disentanglement network (LD-Net), which predicts personalized facial landmarks that combine the identity of the target with expressions and poses from a different subject.
1 code implementation • CVPR 2020 • Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li
Based on a combined data set of 4000 high resolution facial scans, we introduce a non-linear morphable face model, capable of producing multifarious face geometry of pore-level resolution, coupled with material attributes for use in physically-based rendering.