Search Results for author: Pengda Xiang

Found 4 papers, 2 papers with code

Texturize a GAN Using a Single Image

no code implementations21 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?

Diversity

DisUnknown: Distilling Unknown Factors for Disentanglement Learning

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.

Disentanglement

One-Shot Identity-Preserving Portrait Reenactment

no code implementations26 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.

Disentanglement Generative Adversarial Network

Learning Formation of Physically-Based Face Attributes

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.

Data Visualization Face Model

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