Yeonwoo Cha
Graduate student in Computer Science.
Interested in Computer Vision, Generative Models, and Diffusion Models.
I'm a Master's student in the School of Computing at Korea Advanced Institute of Science and Technology (KAIST) VL LAB, advised by Prof. Seunghoon Hong. My research interests lie in computer vision, particularly in diffusion models and flow matching.
Education
Master's in Computer Science, 2025 - Present
KAIST, South Korea
Bachelor's in Computer Science and Electronic Engineering (double major), 2021 - 2025
KAIST, South Korea
Publications
- Yeonwoo Cha*, Semin Kim*, Jinhyeon Kwon, Seunghoon Hong "FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows" ICLR, 2026. [Read Paper] [Project Page]
- Semin Kim, Yeonwoo Cha, Jaehoon Yoo, Seunghoon Hong "Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models" Arxiv, 2025. [Read Paper]
- Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong "Simulation-Free Training of Neural ODEs on Paired Data," NeurIPS, 2024. [Read Paper]
