Face Generation and Editing With StyleGAN: A Survey
Author:
Affiliation:
1. Bielefeld Univeristy, Bielefeld, Germany
2. Banuba, Minsk, Belarus
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/34/10490207/10399793.pdf?arnumber=10399793
Reference145 articles.
1. Analyzing and Improving the Image Quality of StyleGAN
2. GAN folks,2021
3. Training generative adversarial networks with limited data;Karras
4. StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
5. Image2StyleGAN++: How to Edit the Embedded Images?
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