Lee Chae-Yeon

Hi! I'm a MS student at AMILab in Artificial Intelligence at POSTECH, advised by Tae-Hyun Oh.

I am interested in 3D computer vision, cross-modal generation, and multi-modal learning, but not limited to.

chaeyeon.lee@postech.ac.kr  /  CV  /  Scholar  /  LinkedIn  /  Github

profile photo

News

  • 02/2025 1 paper has been accpted to CVPR 2025.
  • 06/2024 1 paper has been accpted to INTERSPEECH 2024.

Publications

Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics
Lee Chae-Yeon*, Oh Hyun-Bin*, Han EunGi, Kim Sung-Bin, Suekyeong Nam, Tae-Hyun Oh
CVPR, 2025
project page / arXiv / code

We define three essential criteria with evaluation metrics for perceptually accurate 3D talking heads and enhance existing models across these three aspects.

MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset
Kim Sung-Bin*, Lee Chae-Yeon*, Gihun Son*, Oh Hyun-Bin, JangHoon Ju, Suekyeong Nam, Tae-Hyun Oh
INTERSPEECH, 2024
project page / arXiv / code / dataset

We generate a 3D talking head with enhanced performance on multilingual speech.

COARA: Efficient Correlation-Aware Uncertainty Modeling in Hand Pose Estimation
Lee Chae-Yeon*, Nam Hyeon-Woo*, Tae-Hyun Oh
Under Review

We estimate 3D hand pose uncertainty while maintaining robust performance.

Research Experiences

  • POSTECH - Advanced Machine Intelligence Lab, Pohang, Korea.Mar 2024 - Present
       Graduate Student, working with Tae-Hyun Oh.

This website is based on Jon Barron's website. I appreciate him for kindly open-sourcing the source code.