Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning

Author:

Jin Xin1,Zhao Shu1,Zhang Le1,Zhao Xin1,Deng Qiang1,Xiao Chaoen1

Affiliation:

1. Beijing Electronic Science and Technology Institute, Beijing, China

Funder

Project of Philosophy and Social Science Research, Ministry of Education of China

CAAI-Huawei MindSpore Open Fund

National Natural Science Foundation of China

Advanced Discipline Construction Project of Beijing Universities

Open Fund Project of the State Key Laboratory of Complex System Management and Control

Publisher

ACM

Reference12 articles.

1. Xi Chen , Yan Duan , Rein Houthooft , John Schulman , Ilya Sutskever , and Pieter Abbeel . 2016 . Infogan: Interpretable representation learning by information maximizing generative adversarial nets . In Proceedings of the 30th International Conference on Neural Information Processing Systems. Curran Associates Inc. , Red Hook, NY, USA, 2180--2188. Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. 2016. Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In Proceedings of the 30th International Conference on Neural Information Processing Systems. Curran Associates Inc., Red Hook, NY, USA, 2180--2188.

2. Ian J. Goodfellow , Jean Pouget-Abadie , Mehdi Mirza , Bing Xu , David Warde-Farley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014 . Generative Adversarial Nets . In Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2 (Montreal, Canada) (NIPS'14). MIT Press, Cambridge, MA, USA, 2672--2680. Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2 (Montreal, Canada) (NIPS'14). MIT Press, Cambridge, MA, USA, 2672--2680.

3. EigenGAN: Layer-Wise Eigen-Learning for GANs

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

5. SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction

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