Seungwoo Yoo
dreamy1534 [at] kaist.ac.kr
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 machine learning and science. In particular, my research area includes but is not limited to:
- Generative Modeling;
- AI for Science;
- Geometry Processing.
For details, refer to my Curriculum Vitae (PDF).
News
| Jan 13, 2026 | Our paper, DiffusionRollout, which introduces an adaptive rollout strategy for diffusion models applied to time-dependent PDEs, has been accepted at TMLR. More details coming soon. |
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| 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. |