Soyeong Kwon

Hello. My name is Soyeong Kwon. I am a master's student in MVLLAB at UNIST Graduate School of AI. I am fortunate to be advised by Taehwan Kim.

I am interested in multimodal models and generative AI. I aim to deeply understand intelligent systems and explore innovative approaches to generate aesthetic results without human help. Recently, I have been focused on analyzing large models to understand other modalities and connect them.

Email: soyoung17[at]unist[dot]ac[dot]kr

Github: https://github.com/babypotatotang

News : Our paper for text-to-video generation is accepted to CVPR 2024.

Education

M.S, in Artificial Intelligence Graduate School at Ulsan National Institute of Science and Technology, Korea, Prof.Taehwan Kim, Mar 2023 - Present.
B.S. in Information and Communication Engineering, at Yeungnam University, Korea, Mar 2018 - Feb 2022.

Research Experience

Research Intern, UNIST MVLLAB, Aug 2022 - Feb 2023. Advisors: Taehwan Kim, MinChung Kim.
Research Intern, Korea Maritime Institute Economic Outlook and Data Research Lab, Sep 2021 - Feb 2022.
Undergraduate Research Intern, Yeungnam University Computer Network and Security Lab, Mar 2020 - Jun 2021. Advisor: SeungYeob Nam.

International publications

Taegyeong Lee*, Soyeong Kwon* and Taehwan Kim, Grid Diffusion Models for Text-to-Video Generation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (to appear)