I am a Research Scientist at RebuilderAI in Seongnam, South Korea. I received my Master's degree in Computer Science from KAIST under the supervision of Prof. Minhyuk Sung. I received my B.S. in Electrical Engineering and Computer Science at KAIST in 2022.
My current research interests lie in machine learning for 3D Computer Vision and Graphics (Deformation, Generation, and Editing), and I am also broadly interested in Neural Radiance Fields, Diffusion Model and Multimodal Understanding.
For details, refer to my Curriculum Vitae (CV).
Most recent publications on Google Scholar.
‡ indicates equal contribution.
StyleMVD: Tuning-Free Image-Guided Texture Stylization by Synchronized Multi-View Diffusion
Kunho Kim, Sanghyeon An, Minhyuk Sung
Under review, 2024
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
Seungwoo Yoo‡, Kunho Kim‡, Vladimir G. Kim, Minhyuk Sung
Conference on Computer Vision and Pattern Recognition Conference (CVPR), 2024
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung
Conference on Neural Information Processing Systems (NeurIPS), 2023
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation
Kunho Kim‡, Mikaela Angelina Uy‡, Despoina Paschalidou, Alec Jacobson, Leonidas Guibas, Minhyuk Sung
Computer Graphics Forum (Proc. Pacific Graphics 2023)
Teaching Assistant, Spring 2023, Introduction to Computer Graphics (CS380), KAIST
Teaching Assistant, Fall 2023, Machine Learning for 3D Data (CS479), KAIST
Counseling Assistant, Fall 2023, Computer Science, KAIST