Gwanghyun Kim
Scholar

Gwanghyun Kim

Google Scholar ID: SCLtNC4AAAAJ
Seoul National University (SNU)
Generative AIMultimodal LearningComputer Vision3DDigital Humans
Citations & Impact
All-time
Citations
1,460
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Published GeoMan and PersonaCraft at ICCV 2025; Published AVDiT & MoNL at NeurIPS 2024; Published BeyondScene at ECCV 2024; Won 2nd place award in REG 2025; Won Google Conference Scholarship; Published PODIA-3D at ICCV 2023; Published DATID-3D at CVPR 2023; Published DISTL in Nature Communications; Published DiffusionCLIP at CVPR 2022; Won Qualcomm Innovation Fellowship South Korea 2023; Invited to oral session at KCCV 2022; Won Best Master Student for the Year Award at BISPL, KAIST; AI-based COVID-19 diagnosis solution passed exploratory clinical trial; Published MT-ViT for COVID-19 in Medical Image Analysis; Published FeSTA at NeurIPS 2021; Won 2nd place award in NVIDIA AI Healthcare Hackathon.
Research Experience
  • NVIDIA Research, Research Scientist Intern, Jan. 2024 - Feb. 2025, Santa Clara, CA (remote); Google Research, Student Researcher, Sep. 2023 - Jan. 2024, New York, NY; Fast Campus, Lecturer in AI, Lecture Title: Mastering GANs through Model Implementation, Nov. 2022 - Oct. 2023, Seoul, Korea.
Education
  • Ph.D. Candidate, Electrical and Computer Engineering (ECE), Seoul National University (SNU), Advisor: Se Young Chun; M.S., Bio and Brain Engineering (BBE), Korea Advanced Institute of Science and Technology (KAIST), Advisor: Jong Chul Ye; B.S., Electrical and Electronic Engineering (EEE), Yonsei University, Advisor: Dong Hyun Kim.
Background
  • Research Interests: Generative AI, aiming to advance generative AI by building models that genuinely understand the world. Core research directions include 3D World Understanding, Multimodal Control, and Temporal Dynamics.