CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields-Reference-Cited by-同舟云学术

CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields

Author:

Sun Keqiang¹^ORCID,Wu Shangzhe²^ORCID,Zhang Ning³^ORCID,Huang Zhaoyang¹^ORCID,Wang Quan³^ORCID,Li Hongsheng⁴^ORCID

Affiliation:

1. Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong SAR

2. Department of Engineering Science, University of Oxford, Oxford, U.K.

3. SenseTime Research, Beijing, China

4. CUHK MMlab, Centre for Perceptual and Interactive Intelligence, Shanghai AI Laboratory, Shanghai, China

Funder

National Key R&D Program of China

Centre for Perceptual and Interactive Intelligence

General Research Fund of Hong Kong RGC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference79 articles.

2. Generative adversarial nets;Goodfellow

3. Large scale GAN training for high fidelity natural image synthesis;Brock

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