no code implementations • 5 Feb 2025 • Janghyeok Han, Gyujin Sim, Geonung Kim, Hyunseung Lee, Kyuha Choi, Youngseok Han, Sunghyun Cho
Video super-resolution (VSR) aims to reconstruct a high-resolution (HR) video from a low-resolution (LR) counterpart.
no code implementations • 2 Jan 2025 • Kyoungkook Kang, Gyujin Sim, Geonung Kim, Donguk Kim, Seungho Nam, Sunghyun Cho
In this paper, we propose LayeringDiff, a novel pipeline for the synthesis of layered images, which begins by generating a composite image using an off-the-shelf image generative model, followed by disassembling the image into its constituent foreground and background layers.
no code implementations • 10 Oct 2024 • Jaekyeong Lee, Geonung Kim, Sunghyun Cho
In this paper, we propose a novel region-of-interest (ROI)-based video editing framework: ROI-based Neural Atlas (RNA).
no code implementations • 31 Jan 2024 • Geonung Kim, Beomsu Kim, Eunhyeok Park, Sunghyun Cho
We validate the effectiveness of our method on three representative I2I tasks: InstructPix2Pix for image editing, StableSR for image restoration, and ControlNet for image-conditional image generation.
no code implementations • 19 Sep 2023 • Nuri Ryu, Minsu Gong, Geonung Kim, Joo-Haeng Lee, Sunghyun Cho
We introduce POP3D, a novel framework that creates a full $360^\circ$-view 3D model from a single image.
no code implementations • 30 Nov 2022 • Wonjoon Jin, Nuri Ryu, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho
To tackle this, we present Dr. 3D, a novel adaptation approach that adapts an existing 3D GAN to artistic drawings.
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 • 17 Feb 2022 • Jaesung Rim, Geonung Kim, Jungeon Kim, Junyong Lee, Seungyong Lee, Sunghyun Cho
To this end, we present RSBlur, a novel dataset with real blurred images and the corresponding sharp image sequences to enable a detailed analysis of the difference between real and synthetic blur.
Ranked #1 on
Deblurring
on RSBlur (trained on synthetic)