Web: http://arxiv.org/abs/2201.11975

Jan. 31, 2022, 2:10 a.m. | Yu Tian, Zhangkai Ni, Baoliang Chen, Shiqi Wang, Hanli Wang, Sam Kwong

cs.CV updates on arXiv.org arxiv.org

Recent years have witnessed the dramatically increased interest in face
generation with generative adversarial networks (GANs). A number of successful
GAN algorithms have been developed to produce vivid face images towards
different application scenarios. However, little work has been dedicated to
automatic quality assessment of such GAN-generated face images (GFIs), even
less have been devoted to generalized and robust quality assessment of GFIs
generated with unseen GAN model. Herein, we make the first attempt to study the
subjective and objective …

arxiv cv gan generated images

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