Causal Representation Learning for GAN-Generated Face Image Quality Assessment
Author:
Affiliation:
1. Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
2. Department of Computing and Decision Sciences, Lingnan University, Tuen Mun, Hong Kong
Funder
Science and Technology Innovation 2030 Key Project
Hong Kong Innovation and Technology Commission
Hong Kong General Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/76/10634006/10463077.pdf?arnumber=10463077
Reference99 articles.
1. DEAR-GAN: Degradation-Aware Face Restoration With GAN Prior
2. Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution
3. FaceFormer: Aggregating Global and Local Representation for Face Hallucination
4. Generative Adversarial Networks for Face Generation: A Survey
5. CLIP2GAN: Towards Bridging Text with the Latent Space of GANs
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