Seungwoo Yoo

dreamy1534 [at] kaist.ac.kr

prof_pic.jpg

E3-5, Rm. 510, 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. degree in Computer Science (Major) and Electrical Engineering (Minor) from KAIST in Aug. 2023 and my M.S. degree 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

Dec 25, 2025 Our paper introducing PairFlow, a lightweight preprocessing algorithm for training Discrete Flow Models (DFMs) to enable few-step sampling, is now available on arXiv.
Dec 16, 2025 Our paper, BézierFlow, which introduces a novel stochastic interpolant scheduler based on Bézier splines, is now available on arXiv.
Nov 6, 2025 Our paper on proxy-free Gaussian splat deformation has been accepted at 3DV 2026. The paper is now available on arXiv.
Sep 19, 2025 Our paper Neural Green’s Functions is accepted at NeurIPS 2025. The paper is now available here.
Aug 4, 2025 I am awarded the Outstanding TA Award from the KAIST School of Computing for the Spring 2025 semester, in recognition of my efforts as a TA for the course CS479: Machine Learning for 3D Data.

Publications

2026

  1. gsdeform-thumbnail.png
    Proxy-Free Gaussian Splats Deformation with Splat-Based Surface Estimation
    Jaeyeong Kim, Seungwoo Yoo, and Minhyuk Sung
    3DV, 2026

2025

  1. pairflow_teaser.png
    PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
    Mingue Park*, Jisung Hwang*, Seungwoo Yoo*Kyeongmin Yeo, and Minhyuk Sung
    arXiv preprint arXiv:2512.20063, 2025
  2. bezierflow_thumbnail.png
    BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation
    Yunhong Min*Juil Koo*Seungwoo Yoo, and Minhyuk Sung
    arXiv preprint arXiv:2512.13255, 2025
  3. ngf_teaser.png
    Neural Green’s Functions
    Seungwoo YooKyeongmin Yeo, Jisung Hwang, and Minhyuk Sung
    NeurIPS, 2025

2024

  1. neuralpose_teaser.png
    Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
    Seungwoo YooJuil KooKyeongmin Yeo, and Minhyuk Sung
    NeurIPS, 2024
  2. apap_teaser.png
    As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
    Seungwoo Yoo*Kunho Kim*Vladimir G. Kim, and Minhyuk Sung
    CVPR, 2024

2023

  1. salad_teaser.png
    SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
    Juil Koo*Seungwoo Yoo*Minh Hieu Nguyen*, and Minhyuk Sung
    ICCV, 2023