"My ultimate goal is to enhance and evolve people’s daily lives"
I’m MS/PhD student in the field of 3D computer vision. I’ve worked as a software developer and AI applied researcher in past time and currently researching at SNU Visual Computing Lab with Prof. Hanbyul Joo. I'm interested in researches which interconnects computers and humans (e.g., Robotics, VR/AR), and the technologies that advance these fields. (e.g., Human-Object Interaction, Human Digitalization)
Seoul National University
BS in Electric & Computer Engineering
Korea Science Academy of KAIST
High School
Seoul, Korea Mar 2017 - Aug 2023
Busan, Korea Mar 2014 - Feb 2017
**[ICCV 2025] DAViD: Modeling Dynamic Affordance of 3D Objects using Pre-trained Video Diffusion Models Hyeonwoo Kim, Sangwon Beak, Hanbyul Joo
Paper | Video | Project Page
[ICCV 2025] Learning 3D Object Spatial Relationships from Pre-trained 2D Diffusion Models ****Sangwon Beak, ****Hyeonwoo Kim, Hanbyul Joo
*[ECCV 2024, Oral Presentation] Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models Hyeonwoo Kim, Sookwan Han*, Patrick Kwon, Hanbyul Joo
Paper | Video | Project Page
[CVPR 2023, Highlight] **Text2Scene: Text-driven Indoor Scene Stylization with Part-aware Details ****Inwoo Hwang, Hyeonwoo Kim, Young Min Kim
Paper | Video | Project Page
[Eurographics Short 2023] Text2PointCloud: Text-driven Stylization for Sparse PointCloud Inwoo Hwang, Hyeonwoo Kim, Donggeun Lim, Inbum Park, Young Min Kim
Visual Computing Lab
Research Intern → MS/PhD Student
Seoul, Korea Mar 2023 - Current
Mainly researching on practical topics in 3D Computer Vision. Nowadays, interested in learning Human-Object Interaction (Affordance) which can be useful for perceiving environments and planning actions.
NAVER WEBTOON Corp.
Applied AI Research Intern
Seongnam, Korea Jan 2023 - Mar 2023
Participate in WebtoonMe team in Generative Model Research. Study 2D Full Body Portrait Stylization (e.g. Real World → Webtoon Character) using diffusion model in dataset generation pipeline.