M.S. Student, ViLab (Visual Intelligence Lab), Department of Artificial Intelligence, College of Computing, Yonsei University Research Advisor: Prof. Yongjung Uh
Research Interest:
Multimodal Generative Models | Video Generation & Editing | Flow Matching & Diffusion models
Contact:
sjbpsh1@yonsei.ac.kr (Research) cosjbpsh1@gmail.com (Personal)
CV / Google Scholar / Semantic Scholar / LinkedIn / GitHub
I am currently an M.S. student in the Department of Artificial Intelligence at Yonsei University and a graduate researcher at Visual Intelligence Lab, advised by Prof. Youngjung Uh. I also work as an AI Researcher at CINELINGO Lab.
My research focuses on multimodal generative models, with particular interest in video generation and editing, flow matching, and diffusion models. My recent work explores synchronized audio-to-video generation, efficient multi-model sampling, and mask-free video text removal, aiming to enhance temporal alignment and inference efficiency in high-quality video synthesis.
Before Yonsei, I completed my B.S. in IT Engineering & Statistics at Sookmyung Women's University and worked as an undergraduate research intern at the Computer Vision Lab, Korea University.
❤️ [2026] "TextAway: Mask-Free Video Text Removal with End-to-End Text-Aware Generation" is under review.
❤️ [2026] "FlowBlending: Stage-Aware Multi-Model Sampling for Fast and High-Fidelity Video Generation" is arxived.
❤️ [2025] "Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers" is accepted in ICLR 2026!
❤️ : First author or co-first author 🧡 : My favorite co-working papers!
AI Researcher, CINELINGO Lab
Jan 2026 - Present
Graduate Student Researcher, ViLab (Visual Intelligence Lab), Research Advisor: Prof. Yongjung Uh
Sep 2024 - Present
Undergraduate Research Intern, Computer Vision Lab, Korea University
Apr 2023 - May 2024
M.S. in Artificial Intelligence, Yonsei Unicersity
Sep 2024 - Present
B.S. in IT Engineering & Statistics, Sookmyung Women's University
Mar 2020 - Feb 2024