no code implementations • 1 Apr 2024 • Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho
Recent image tone adjustment (or enhancement) approaches have predominantly adopted supervised learning for learning human-centric perceptual assessment.
no code implementations • 31 Dec 2023 • Hwayoon Lee, Kyoungkook Kang, Hyeongmin Lee, Seung-Hwan Baek, Sunghyun Cho
UGPNet first restores the image structure of a degraded input using a regression model and synthesizes a perceptually-realistic image with a generative model on top of the regressed output.
1 code implementation • 26 Nov 2022 • Seongtae Kim, Kyoungkook Kang, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho
In this paper, we propose DynaGAN, a novel few-shot domain-adaptation method for multiple target domains.
1 code implementation • 20 Jul 2022 • Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho
In this paper, we propose BigColor, a novel colorization approach that provides vivid colorization for diverse in-the-wild images with complex structures.
1 code implementation • ICCV 2021 • 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.