I am a Master's student majoring in the Interdisciplinary Program in Artificial Intelligence (IPAI) at Seoul National University, under the supervision of Jaesik Park. Before that, I received dual Bachelor's degree in Chemistry Education and Computer Science and Engineering from the same university.
My primary research interests span computer graphics and computer vision, including but not limited to neural representations and generative models. Specifically, I explore the intersection of non-photorealistic and photorealistic rendering, with a strong interest in visualizing dynamic 3D objects. As a researcher, my ultimate goal is to help bring our inner thoughts and imagination to life without limitations.
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Recovering Dynamic 3D Sketches from Videos
Jaeah Lee, Changwoon Choi, Young Min Kim, and Jaesik Park CVPR, 2025 We introduce a novel approach for reconstructing 3D sketches of dynamic objects from video frames by using the deformability of each stroke. project page / paper |
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Improving Editability in Image Generation with Layer-wise Memory
Daneul Kim, Jaeah Lee, and Jaesik Park CVPR, 2025 We propose a framework to improve editability in sequential image generation by focusing on the maintenance of existing contents at each step. project page / paper |
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3Doodle: Compact Abstraction of Objects with 3D Strokes
Changwoon Choi, Jaeah Lee, Jaesik Park, and Young Min Kim SIGGRAPH (ACM Transactions on Graphics), 2024 We propose a novel approach for compact representation of objects from multiple views, utilizing a sparse set of strokes within 3D space. project page / paper / code |
3D Vision Lab, Seoul National University
Research Intern Main reserarch area: Non-photorealistic rendering |
Jul. 2023 - Feb. 2024 |
Vision & Learning Lab, Seoul National University
Research Intern Main reserarch area: Neural rendering, Inverse graphics networks |
Jun. 2022 - May. 2023 |
Biointelligence Lab, Seoul National University
Internship in Undergraduate Research Opportunities Program (UROP) Main reserarch area: Human-computer interaction, Object detection |
Jul. 2021 - Sep. 2021 |