Patrick Kwon (권용재)

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I am a full-time research scientist at Naver Webtoon Corp. studying computer vision, graphics, and AI. Previously, I received my Master’s degree at Columbia University studying machine learning and human-computer interaction within augmented reality. Recently I have worked with Professor Hanbyul Joo and SNU VCLab in solving 3D reconstruction and affordance problems.

My main research goal is in embedding human prior knowledge within generative AI systems. Specifically, I aspire to create AI systems that has a human level understanding towards visual context, which in turn will pave way for novel solutions in the field of computer vision. For instance, how can we aid video generation models to better understand human-object interaction? And how can we utilize such models in helping content creators and improving robotics systems? These are just few of the questions I hope to discover answers for.

selected publications

2024

  1. ComA.png
    Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models
    Hyeonwoo Kim*, Sookwan Han*, Patrick Kwon, and Hanbyul Joo
    In ECCV (Oral), Sep 2024
    arXiv PDF Code Website
  2. ARIOS.jpg
    Augmented-reality-assisted intraoral scanning: A proof-of-concept study
    Seung Jun Song, Madison Tang, Brynn Gwartzman, Derek Lee, Pierluigi Romandini, Maurice Salem, Patrick Kwon, Steven K. Feiner, and Irena Sailer
    Journal of Prosthodontics, Jul 2024
    Website

2023

  1. rp_christopher_posed_001_boy_long_sleeves_jeans.gif
    Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
    Byungjun Kim*, Patrick Kwon*, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, and Hanbyul Joo
    In ICCV (Oral), Jul 2023
    arXiv PDF Code Website
  2. interactivecartoonization.jfif
    Interactive Cartoonization with Controllable Perceptual Factors
    Namhyuk Ahn, Patrick Kwon, Jihye Back, Kibeom Hong, and Seungkwon Kim
    In CVPR, Jul 2023
    arXiv PDF
  3. teaser_v3_wocolor.png
    LPMM: Intuitive Pose Control for Neural Talking-Head Model via Landmark-Parameter Morphable Model
    Kwangho Lee, Patrick Kwon, Myung Ki Lee, Namhyuk Ahn, and Junsoo Lee
    Jul 2023
    arXiv PDF Website

2021

  1. 5-Figure2-1.png
    Kodf: A large-scale korean deepfake detection dataset
    Patrick Kwon, Jaeseong You, Gyuhyeon Nam, Sungwoo Park, and Gyeongsu Chae
    In ICCV, Jul 2021
    arXiv PDF Website