Jaeseong Lee

I am a Ph.D candidate supervised by Jaegul Choo, at Kim Jaechul Graduate School of AI, KAIST. My research interest lies in reconstructing photo-realistic human heads with controllability. Particularly, my research topics include neural head avatar synthesis with rigging or relighting. I have worked on 2D face swapping with generative models, before.

Currently, I am a research intern at Meta Reality Labs with Carlos Aliaga. I collaborate with Marcel Buehler from ETH Zurich. I was a research intern at Naver AI Lab with Jin-Hwa Kim and Kakao Brain with Hyunjoon Lee. I completed my Ph.D coursework in Computer Vision and Artificial Intelligence at KAIST, and a Bachelors in Engineering at DGIST.

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headshot
News
  • 06/2025 Started a research internship at Meta Reality Labs, California.
  • 01/2025 SurFhead is accepted to ICLR 2025.
  • 09/2024 erankGS is accepted to NeurIPS 2024.
  • 07/2024 SelfSwapper is accepted to ECCV 2024.
  • 08/2024 Started a research internship at Naver AI Lab.
  • 01/2024 EDTN is accepted to ICASSP 2024.
  • 08/2022 AnimeCeleb is accepted to ECCV 2022.
  • 07/2022 Started a research internship at Kakao Brain.
Research

* denotes equal contribution, denotes advisee

TexAvatars: Hybrid Texel-3D Representations for Stable Rigging of Photorealistic Gaussian Head Avatars
Jaeseong Lee*, Junyeong Ahn*, Taewoong Kang, Jaegul Choo
International Conference on 3D Vision (3DV), 2026
paper | project page | cite
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
Jaeseong Lee*, Taewoong Kang*, Marcel C. Bühler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo
International Conference on Learning Representations (ICLR), 2025
paper | project page | cite
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim
Conference on Neural Information Processing Systems (NeurIPS), 2024
paper | project page | cite
SelfSwapper: A Simple yet Robust Face Swapping Model against Attribute Leakage
Jaeseong Lee*, Junha Hyung*, Sohyun Jung, Jaegul Choo
European Conference on Computer Vision (ECCV), 2024
paper | project page | cite
Expression Domain Translation Network for Cross-domain Head Reenactment
Taewoong Kang*, Jeongsik Oh*, Jaeseong Lee, Sunghyun Park, Jaegul Choo
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
paper | project page | cite
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
Kangyeol Kim*, Sunghyun Park*, Jaeseong Lee*, Sunghyo Chung, Junsoo Lee, Jaegul Choo
European Conference on Computer Vision (ECCV), 2022
paper | code | cite
Mentored Students
  • Taewoong Kang (2023–Present): Ph.D student at KAIST
    EDTN (ICASSP 2024)
  • Junyeong Ahn (2024–Present): M.S. student at KAIST
    TexAvatars (3DV 2026)
Projects
PixelHuman: Animatable Neural Radiance Fields from Few Images
Gyumin Shim, Jaeseong Lee, Junha Hyung, Jaegul Choo
arXiv preprint, 2023
paper
RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage
Jaeseong Lee*, Taewoo Kim*, Sunghyun Park, Younggun Lee, Jaegul Choo
arXiv preprint, 2023
paper | project page
Experience
  • Meta Reality Labs, California, USA — Research Intern (Jun 2025 – Present)
    Host: Carlos Aliaga
  • Naver AI Lab, Seongnam, Korea — Research Intern (Aug 2024 – Feb 2025)
    Host: Jin-Hwa Kim
  • Kakao Brain, Seongnam, Korea — Research Intern (Jul 2022 – Sep 2022)
    Host: Hyunjoon Lee
  • KAIST DAVIAN Lab, Daejeon, Korea — Research Intern (Dec 2020 – Feb 2022)
    Advisor: Jaegul Choo
  • POSTECH, Pohang, Korea — Research Intern, Computer Graphics Lab (Jun 2020 – Aug 2020)
  • DGIST, Daegu, Korea — Research Intern, Computer Vision Lab (Dec 2019 – Feb 2020)
Education
  • Ph.D. in Artificial Intelligence, KAIST, 2022 – Present
    Advisor: Jaegul Choo
  • B.S. in Engineering, DGIST, 2021
  • Summer Exchange, UC Berkeley, 2018
Academic Activities
  • Conference Reviewer: 3DV 2026, ICLR 2025, ICCV 2023/2025, CVPR 2022/2023/2024, ECCV 2022/2024, ACCV 2024
Talks
  • 2023 SKT Computer Vision Research Seminar: "Image Animation with Deep Learning"
  • 2022 NAVER & KAIA Autumn Joint Academic Conference: "Cross-domain Neural Talking Head Synthesis"

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