About Me

Hello, I’m Hansol Lee, a Computer Vision and Deep Learning Research Engineer with specialized research interests in 3D avatar reconstruction, 3D scene reconstruction, and 2D image generation. I currently work as a Machine Learning Engineer at CLO Virtual Fashion. I received a dual bachelor’s degree in economics and computer science from Sookmyung Women’s University in Seoul, South Korea, and a master’s degree in computer engineering from Ulsan National Institute of Science and Technology(UNIST) in Ulsan, South Korea.

Research Interests. Deep learning-driven computer vision with a focus on 3D human modeling, avatar reconstruction, and 3D scene reconstruction and generation. Generative Model.

Researches

ContactField: Implicit Field Representation for Multi-Person Interaction Geometry
Hansol Lee, Tackgeun You, Hansoo Park, Woohyeon Shim, Sanghyeon Kim, Hwasup Lim, NeurIPS 2024 [Link]

Dynamic Appearance Modeling of Clothed 3D Human Avatars using a Single Camera
Hansol Lee, Junuk Cha, Yunhoe Ku, Jaeshin Yoon* and Seungryul Baek*, arXiv 2024 [Link]

PIDiffu: Pixel-aligned Diffusion Model for High-Fidelity Clothed Human Reconstruction
Jungeun Lee, Sanghun Kim, Hansol Lee, Tserendorj Adiya, Hwasup Lim*, WACV 2024 [Link]

3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image
Junuk Cha, Hansol Lee, Jaewon Kim, Bao, Jaeshin Yoon* and Seungryul Baek*, WACV 2024 [Link]

IFaceUV: Intuitive Motion Facial Image Generation by Identity Preservation via UV map
Hansol Lee, Yunhoe Ku, Eunseo Kim, Seungryul Baek*, arXiv 2023 [Link]

Data

Synthetic dataset of multi-person interaction geometry

View Example Sequential Video Dataset