Minho Park

Ph.D. Student
KAIST
m.park@kaist.ac.kr


About Me

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.


News

[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.


Publications

Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
Minho Park, Sunghyun Park, Jooyeol Yun, and Jaegul Choo
arXiv, 2024
[Paper] [Code]

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]


Work Experience

[Mar. 2024 - Aug. 2024] Qualcomm AI Research, Research Intern


Academic Activities

Conference Reviewers: CVPR, NeurIPS, AAAI, ICLR, etc.

Talks

[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]