3 citations · 3 across the 7 of their papers we have counts for
7 papers
BFS: Back-to-Front Layered Image Synthesis via Knowledge Transfer
Kyoungkook Kang, Gyujin Sim, Sunghyun Cho
As generative models expand the possibilities of visual content creation, layered image synthesis has emerged as a promising direction for controllable and creative editing. Howeve…
LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge
Kyoungkook Kang, Gyujin Sim, Geonung Kim +3
Layers have become indispensable tools for professional artists, allowing them to build a hierarchical structure that enables independent control over individual visual elements. I…
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok +1
Recent image tone adjustment (or enhancement) approaches have predominantly adopted supervised learning for learning human-centric perceptual assessment. However, these approaches…
UGPNet: Universal Generative Prior for Image Restoration
Hwayoon Lee, Kyoungkook Kang, Hyeongmin Lee +2
Recent image restoration methods can be broadly categorized into two classes: (1) regression methods that recover the rough structure of the original image without synthesizing hig…
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…
BigColor: Colorization using a Generative Color Prior for Natural Images
Geonung Kim, Kyoungkook Kang, Seongtae Kim +5
For realistic and vivid colorization, generative priors have recently been exploited. However, such generative priors often fail for in-the-wild complex images due to their limited…
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…