[NEW] SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation
Minho Park*, Taewoong Kang*, Jooyeol Yun, Sungwon Hwang, and Jaegul Choo
arXiv, 2025
[Paper] [Code] [Project page]

[NEW] 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
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]