I am a Ph.D. student at Data and Visual Analytics Lab (DAVIAN) in Korea Advanced Institute of Science and Technology (KAIST) advised by Professor Jaegul Choo.
[Mar. 2024] I started internship at Qualcomm AI Research. [Feb. 2024] StableVITON accepted to CVPR 2024. [Jul. 2023] Gaussian-categorical Diffusion Process paper accepted to ICCV 2023. [Jul. 2022] iColoriT paper accepted to WACV 2023.
StableVITON: Learning Semantic Correspondence
with Latent Diffusion Model for Virtual Try-On
Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, and Jaegul Choo
Computer Vision and Pattern Recognition (CVPR), 2024, Seattle WA, USA
[Paper]
[Code]
[Project page]
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image
Synthesis
Minho Park*, Jooyeol Yun*, Seunghwan Choi, and Jaegul Choo
International Conference on Computer Vision (ICCV), 2023, Paris, France.
[Paper]
[Code]
[Project page]
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by
Leveraging Vision Transformer
Jooyeol Yun*, Sanghyeon Lee*, Minho Park*, and Jaegul Choo
Winter Conference on Applications of Computer Vision (WACV), 2023, Waikoloa, Hawaii.
[Paper]
[Code]
[Project page]
[Mar. 2024 - Aug. 2024] Qualcomm AI Research, Research Intern
Conference Reviewers: CVPR, NeurIPS, AAAI, ICLR, etc.
[Feb. 2024] Data generation via generative models [Dec. 2023] Various Types of Diffusion Process [pdf] [Sep. 2023] Segment Anything (Kor.) [pdf] [Jul. 2023] Classification with Foundation Models (Kor.) [pdf] [Jun. 2023] Consistency Models and BOOT (Kor.) [pdf] [Jan. 2023] DDPM [pdf]