High Fidelity Face Swapping via Semantics Disentanglement and Structure Enhancement-Reference-Cited by-同舟云学术

High Fidelity Face Swapping via Semantics Disentanglement and Structure Enhancement

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Liu Fengyuan¹^ORCID,Yu Lingyun¹^ORCID,Xie Hongtao¹^ORCID,Liu Chuanbin¹^ORCID,Ding Zhiguo²^ORCID,Yang Quanwei¹^ORCID,Zhang Yongdong¹^ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Third Research Institute of the Ministry of Public Security, Shanghai, China

Funder

Fundamental Research Funds for the Central Universities

National Nature Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612215

Reference47 articles.

1. 2016. FaceSwap. https://github.com/MarekKowalski/FaceSwap. 2016. FaceSwap. https://github.com/MarekKowalski/FaceSwap.

2. 2017. DeepFakes. https://github.com/deepfakes/faceswap. 2017. DeepFakes. https://github.com/deepfakes/faceswap.

3. 2018. faceswap-GAN: A denoising autoencoder + adversarial losses and attention mechanisms for face swapping. https://github.com/shaoanlu/faceswap-GAN. 2018. faceswap-GAN: A denoising autoencoder + adversarial losses and attention mechanisms for face swapping. https://github.com/shaoanlu/faceswap-GAN.

4. Alexander A. Alemi , Ian Fischer , Joshua V. Dillon , and Kevin Murphy . 2017 . Deep Variational Information Bottleneck. In 5th International Conference on Learning Representations. Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, and Kevin Murphy. 2017. Deep Variational Information Bottleneck. In 5th International Conference on Learning Representations.

5. Creating a Photoreal Digital Actor: The Digital Emily Project