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

Author:

Sun Keqiang1ORCID,Wu Shangzhe2ORCID,Zhang Ning3ORCID,Huang Zhaoyang1ORCID,Wang Quan3ORCID,Li Hongsheng4ORCID

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

Reference79 articles.

1. Efficient Geometry-aware 3D Generative Adversarial Networks

2. Generative adversarial nets;Goodfellow

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

4. A Style-Based Generator Architecture for Generative Adversarial Networks

5. Analyzing and Improving the Image Quality of StyleGAN

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1. CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

2. Removing the Quality Tax in Controllable Face Generation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

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