HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
Author:
Affiliation:
1. Peking University, Beijing, China
2. University of Chinese Academy of Sciences, Beijing, China
3. Alibaba Group, Hangzhou, China
Funder
High-performance Computing Platform of Peking University
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3413965
Reference65 articles.
1. Category-Specific Object Image Denoising
2. Graph-Based Blind Image Deblurring From a Single Photograph
3. Adrian Bulat and Georgios Tzimiropoulos. 2018. Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018) 109--117. Adrian Bulat and Georgios Tzimiropoulos. 2018. Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018) 109--117.
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