3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains
Seongtae Kim, Kyoungkook Kang, Geonung Kim +2
Few-shot domain adaptation to multiple domains aims to learn a complex image distribution across multiple domains from a few training images. A naïve solution here is to train a se…
cs.CV2021★ 3 cited
GAN Inversion for Out-of-Range Images with Geometric Transformations
Kyoungkook Kang, Seongtae Kim, Sunghyun Cho
For successful semantic editing of real images, it is critical for a GAN inversion method to find an in-domain latent code that aligns with the domain of a pre-trained GAN model. U…