2 citations · 4 across the 14 of their papers we have counts for
10 papers · 1 filter
HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution Long-Range Videos
Jeongeun Park, Janghyeok Han, Geonung Kim +4
Video outpainting generates plausible visual content beyond the original spatial extent of a video, playing a key role in adapting videos to diverse display formats. To support suc…
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…
RNA: Video Editing with ROI-based Neural Atlas
Jaekyeong Lee, Geonung Kim, Sunghyun Cho
With the recent growth of video-based Social Network Service (SNS) platforms, the demand for video editing among common users has increased. However, video editing can be challengi…
Diffusion Model Compression for Image-to-Image Translation
Geonung Kim, Beomsu Kim, Eunhyeok Park +1
As recent advances in large-scale Text-to-Image (T2I) diffusion models have yielded remarkable high-quality image generation, diverse downstream Image-to-Image (I2I) applications h…
360 Reconstruction From a Single Image Using Space Carved Outpainting
Nuri Ryu, Minsu Gong, Geonung Kim +2
We introduce POP3D, a novel framework that creates a full -view 3D model from a single image. POP3D resolves two prominent issues that limit the single-view reconstructi…
Human Pose Estimation in Extremely Low-Light Conditions
Sohyun Lee, Jaesung Rim, Boseung Jeong +5
We study human pose estimation in extremely low-light images. This task is challenging due to the difficulty of collecting real low-light images with accurate labels, and severely…
Dr.3D: Adapting 3D GANs to Artistic Drawings
Wonjoon Jin, Nuri Ryu, Geonung Kim +2
While 3D GANs have recently demonstrated the high-quality synthesis of multi-view consistent images and 3D shapes, they are mainly restricted to photo-realistic human portraits. Th…
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…
Realistic Blur Synthesis for Learning Image Deblurring
Jaesung Rim, Geonung Kim, Jungeon Kim +3
Training learning-based deblurring methods demands a tremendous amount of blurred and sharp image pairs. Unfortunately, existing synthetic datasets are not realistic enough, and de…