Minho Park

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


About Me

I am a Ph.D. student at the Data and Visual Analytics Lab (DAVIAN) in KAIST AI, advised by Professor Jaegul Choo. My research interests include generative models, computer vision, and their applications. Recently, I have been focusing on applying generative models to robotics.


News

[Nov. 2026] SphereDiff accepted as an Oral Presentation at AAAI 2026.
[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.


Selected Publications

[NEW] ACG: Action Coherence Guidance for Flow-based VLA models
Minho Park*, Kinam Kim*, Junha Hyung, Hyojin Jang, Hoiyeong Jin, Jooyeol Yun, Hojoon Lee, and Jaegul Choo
arXiv 2025
[Paper] [Code] [Project Page] [HuggingFace] [Youtube]

SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation
Minho Park*, Taewoong Kang*, Jooyeol Yun, Sungwon Hwang, and Jaegul Choo
AAAI 2026, Singapore. (Oral Presentation)
[Paper] [Code] [Project page]

Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
Minho Park, Sunghyun Park, Jungsoo Lee, Hyojin Park, Kyuwoong Hwang, Fatih Porikli, Jaegul Choo, and Sungha Choi
Work done during an internship at Qualcomm AI Research.
arXiv 2025
[Paper]

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, and Jaegul Choo
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
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
WACV 2023, Waikoloa, Hawaii.
[Paper] [Code] [Project page]


Work Experience

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


Academic Activities

Conference Reviewers: CVPR, ICCV, ICLR, NeurIPS, ICML, AAAI, 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]