3D hair synthesis using volumetric variational autoencoders

Author:

Saito Shunsuke1,Hu Liwen1,Ma Chongyang2,Ibayashi Hikaru1,Luo Linjie2,Li Hao1

Affiliation:

1. University of Southern California

2. Snap Inc.

Funder

Adobe Systems

Sony Electronics

Army Research Laboratory

ONR YIP

CONIX Research Center

the Andrew and Erna Viterbi Early Career Chair

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference62 articles.

1. SCAPE

2. Coupled 3D reconstruction of sparse facial hair and skin

3. Yoshua Bengio et al. 2009. Learning deep architectures for AI. Foundations and trends® in Machine Learning 2 1 (2009) 1--127. 10.1561/2200000006 Yoshua Bengio et al. 2009. Learning deep architectures for AI. Foundations and trends® in Machine Learning 2 1 (2009) 1--127. 10.1561/2200000006

4. A morphable model for the synthesis of 3D faces

5. Andrew Brock Theodore Lim James M Ritchie and Nick Weston. 2016. Generative and Discriminative Voxel Modeling with Convolutional Neural Networks. In 3D Deep Learning Workshop Advances in neural information processing systems (NIPS). 1--9. Andrew Brock Theodore Lim James M Ritchie and Nick Weston. 2016. Generative and Discriminative Voxel Modeling with Convolutional Neural Networks. In 3D Deep Learning Workshop Advances in neural information processing systems (NIPS). 1--9.

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