Search Results for author: Geonung Kim

Found 9 papers, 3 papers with code

LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge

no code implementations2 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.

Image Generation

RNA: Video Editing with ROI-based Neural Atlas

no code implementations10 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).

Video Editing Video Reconstruction

Diffusion Model Compression for Image-to-Image Translation

no code implementations31 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.

Conditional Image Generation Denoising +5

360$^\circ$ Reconstruction From a Single Image Using Space Carved Outpainting

no code implementations19 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.

Surface Reconstruction

Dr.3D: Adapting 3D GANs to Artistic Drawings

no code implementations30 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.

Image Generation Pose Estimation

BigColor: Colorization using a Generative Color Prior for Natural Images

1 code implementation20 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.

Colorization

Realistic Blur Synthesis for Learning Image Deblurring

1 code implementation17 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.

Deblurring Diversity +1

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