Education

KAIST
Ph.D student GSCT, advised by Junyong Noh
AUG 2024 - Current
KAIST
M.S GSCT, advised by Junyong Noh
AUG 2022 - JUL 2024
Korea University
B.S. in Computer Science, advised by Gerard Kim.
MAR 2021 - JULY 2022
Korea University
B.S. in Arcitectural Engineering.
MAR 2015 - JULY 2022

Experiences

Mingle AI, KAI
Research Intern
FEB 2024 - MAY 2024
DaeJeon, Korea
Visual Media Lab, KAIST
MS Student, Research Scientist
AUG 2022 - JULY 2024
DaeJeon, Korea
Digital eXperience Lab, Korea UNIV
Research Intern
JUN 2021 - JULY 2022
Seoul, Korea

Publications

Audio-Driven Emotional Talking-Head Generation
K. Seo, K. Yun, S. Jung, J. Noh
Use a generative prior for identity agnostic audio-driven talking-head generation with emotion manipulation while trained on a single identity dataset.
Under review
Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example
K. Yun*, Y. Kim*, K. Seo, C. Seo, J. Noh
Selecting the diffusion feature and diffuse condition of stable diffusion to effectively extract sketch
Under review
Stylized Face Sketch Extraction via Generative Prior with Limited Data Utilizing the generative feature to extract and edit face sketch.
EuroGraphics, 2024; CGF
Reducing VR Sickness by Directing User Gaze to Motion Singularity Point/Region as Effective Rest Frame
M. Park, K. Yun, G. Kim
Directing the user gaze to motion singularity point for VR experience.
IEEE Access, 2023
Adding Difference Flow between Virtual and Actual Motion to Reduce Sensory Mismatch and VR Sickness while Moving
K. Yun, G. Kim
Overlaying the difference in optical flow onto the scene for VR experience.
IEEE VRW, 2022