I am a PhD student at the Photogrammetry and Remote Sensing in ETH Zurich collaborating with Google, under the supervision of Prof. Konrad Schindler and Dr. Federico Tombari. I am also advised by Dr. Goutam Bhat and Dr. Prune Truong from Google. My research interests include generative models (especially Diffusion Models) and 3D generation.
I worked as a Research Scientist for my mandatory military service in Twelvelabs and Riiid (Korean military service companies). Prior that, I received my M.S. degree from Korea Advanced Institute of Science and Technology (KAIST).
3D Generation: My ultimate research goal is to generate and edit immerse 3D and 4D world scenes. Based on the power of generative models, inducing the scene’s geometry prior, representation, and physics to them is aligned with my research interest. This reflects my publications on 3D aware generation: ICCV 2025 (1), ICCV 2025 (2), CVPR2025, TPAMI 2024, CVPR 2024
Diffusion Models: I think that diffusion models inherently take a multi-task learning, where a single model learns multiple denoising tasks across different noise levels. If we can harmoniously train a model with these tasks, I believe that the model can generate high-quality samples with small computational resources (parameters). Please check out our papers on NeurIPS 2023, ICLR 2024, ECCV 2024, CVPR 2023, AAAI 2024, AAAI 2025, and ICLR 2025
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