Hyomin Kim

Hyomin Kim

I am a postdoctoral researcher in Graduate School of Artificial Intelligence (GSAI) at POSTECH.
My main interest lies in 3D reconstruction and computer vision using deep learning.

Email / CV / Github

Publications

	Toonify3D: StyleGAN-based 3D Stylized Face Generator Wonjong Jang, Yucheol Jung, Hyomin Kim, Gwangjin Ju, Chaewon Son, Jooeun Son, Seungyong Lee SIGGRAPH, 2024 paper/ video
	Discontinuity-preserving Normal Integration with Auxiliary Edges Hyomin Kim, Yucheol Jung, Seungyong Lee CVPR, 2024 paper/ video
	Mesh Density Adaptation for Template-based Shape Reconstruction Yucheol Jung, Hyomin Kim, Gyeongha Hwang, Seung-Hwan Baek, Seungyong Lee SIGGRAPH, 2023 paper / arXiv / code / video
	LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction Hyomin Kim, Hyeonseo Nam, Jungeon Kim, Jaesik Park, Seungyong Lee ACM Transactions on Graphics, (Proc. SIGGRAPH Asia 2022) paper / arXiv / code / video[FF] / video[supp]
	TextureMe: High-quality Textured Scene Reconstruction in Real Time Jungeon Kim, Hyomin Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee ACM Transactions on Graphics, (presented at SIGGRAPH 2022) paper / video
	Deep Virtual Markers for Articulated 3D Shapes Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee ICCV, 2021 (Oral Presentation) paper / arXiv / code / video
	Spatiotemporal Texture Reconstruction for Dynamic Objects Usinga Single RGB-D Camera Hyomin Kim, Jungeon Kim, HyeonSeo Nam, Jaesik Park, Seungyong Lee Eurographics, 2021 paper / arXiv / code / video[FF] / video[supp]
	Global Texture Mapping for Dynamic Objects Jungeon Kim, Hyomin Kim, Jaesik Park, Seungyong Lee Pacific Graphics, 2019 paper / video

Source code credit to Dr. Jon Barron