27 citations · 41 across the 3 of their papers we have counts for
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cs.CV2022★ 27 cited
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Sihyun Yu, Jihoon Tack, Sangwoo Mo +4
In the deep learning era, long video generation of high-quality still remains challenging due to the spatio-temporal complexity and continuity of videos. Existing prior works have…
cs.CV2021★ 1 cited
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
Hyunsu Kim, Yunjey Choi, Junho Kim +2
Generative adversarial networks (GANs) synthesize realistic images from random latent vectors. Although manipulating the latent vectors controls the synthesized outputs, editing re…
cs.CV2019★ 13 cited
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park +1
Line art colorization is expensive and challenging to automate. A GAN approach is proposed, called Tag2Pix, of line art colorization which takes as input a grayscale line art and c…