Seungwoo Yoo

N1, Rm. 622, KAIST

291 Daehak-ro,

Yuseong-gu, Daejeon,

South Korea 34141

I am a first-year Ph.D. student in the KAIST Visual AI Group, headed by Prof. Minhyuk Sung. I earned my B.S. in Computer Science (major) with a minor in Electrical Engineering from KAIST in Aug. 2023 and my M.S. in Computer Science from KAIST in Feb. 2025.

My research interest encompasses various computational problems arising from the intersection of computer graphics and vision. In particular, my research area includes but is not limited to:

Generative Modeling for 3D Data;
AI for Science;
Multimodal 3D Data Manipulation;
Geometry Processing.

For details, refer to my Curriculum Vitae (PDF).

News

Feb 14, 2025	I received the Outstanding TA Award from the KAIST School of Computing for the Fall 2024 semester for my contributions as a TA in the course CS492(D): Diffusion Models and Their Applications.
Feb 12, 2025	I received the KAIST Global Leadership Award at the 54th Founding Anniversary of KAIST. This award recognizes students who exemplify excellence in embracing challenges, aligning with KAIST’s core values of challenge, creativity, and caring.
Feb 11, 2025	I received the Outstanding Thesis Award for my M.S. thesis.
Nov 26, 2024	I have successfully defended my M.S. thesis. The presentation slides are available here.
Sep 26, 2024	Our paper Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses is accepted at NeurIPS 2024.

Selected Publications

2024

Mesh Deformation Using Learned Priors

Seungwoo Yoo

2024

Bib PDF

Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses

Seungwoo Yoo, Juil Koo, Kyeongmin Yeo, and Minhyuk Sung

NeurIPS, 2024

arXiv Bib PDF Code Website

@inproceedings{yoo2024neuralpose,
  title = {{Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses}},
  author = {Yoo, Seungwoo and Koo, Juil and Yeo, Kyeongmin and Sung, Minhyuk},
  booktitle = {NeurIPS},
  year = {2024},
}

As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors

Seungwoo Yoo*, Kunho Kim*, Vladimir G. Kim, and Minhyuk Sung

CVPR, 2024

arXiv Bib Code Website

@inproceedings{yoo2024apap,
  title = {{As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors}},
  author = {Yoo*, Seungwoo and Kim*, Kunho and Kim, Vladimir G. and Sung, Minhyuk},
  booktitle = {CVPR},
  year = {2024},
}

2023

SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation

Juil Koo*, Seungwoo Yoo*, Minh Hieu Nguyen*, and Minhyuk Sung

ICCV, 2023

arXiv Bib Code Demo Website

@inproceedings{koo2023salad,
  title = {{SALAD}: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation},
  author = {Koo*, Juil and Yoo*, Seungwoo and Nguyen*, Minh Hieu and Sung, Minhyuk},
  booktitle = {ICCV},
  year = {2023},
  demo = {https://huggingface.co/spaces/KAIST-Geometric-AI-Lab/salad-demo},
}