Chunggi Lee — accepted AI-conference papers

2024

DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models

Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam +1

AAAI 2024technical

Recent progresses in large-scale text-to-image models have yielded remarkable accomplishments, finding various applications in art domain. However, expressing unique characteristics of an artwork (e.g. brushwork, colortone, or composition) with text prompts alone may encounter limitations due to the…

Cited by 29 Source ↗PDF ↗code ↗Scholar ↗

2022

Interactive Multi-Class Tiny-Object Detection

Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim, Haejoon Kim +2

CVPR 2022poster

Annotating tens or hundreds of tiny objects in a given image is laborious yet crucial for a multitude of Computer Vision tasks. Such imagery typically contains objects from various categories, yet the multi-class interactive annotation setting for the detection task has thus far been unexplored. To…

Cited by 37 PDF ↗code ↗Scholar ↗