Susung Hong

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I am dedicated to cutting-edge research in computer vision and machine learning. My areas of interest include, but are not limited to, generative models, neural fields, and text-to-{X ∈ {video, 3D, 4D}}. During my undergraduate years, I worked with Profs. Ira Kemelmacher-Shlizerman, Seungryong Kim, Minjoon Seo, and Dr. Ricardo Martin-Brualla.

I usually enjoy working out, reading books, and caring for my cat. I also participate in machine learning competitions. If you have any questions about me, please feel free to email or send me a direct message.

news

Feb 26, 2024 I’m joining UW CSE as a PhD Student this fall.
Feb 26, 2024 I’ve started an internship at NAVER AI Lab.
Sep 22, 2023 One paper has been accepted to NeurIPS 2023.
Jul 14, 2023 One paper has been accepted to ICCV 2023.
Feb 16, 2023 Self-Attention Guidance (SAG) is now available at huggingface/diffusers :hugs::firecracker:
Sep 14, 2022 One paper has been accepted to NeurIPS 2022.

selected publications

  1. ICCV
    Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
    Susung Hong, Gyuseong Lee, Wooseok Jang, and Seungryong Kim
    ICCV, 2023
  2. NeurIPS
    Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
    Susung Hong*, Donghoon Ahn*, and Seungryong Kim
    NeurIPS, 2023
  3. NeurIPS
    Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
    Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, and Seungryong Kim
    NeurIPS, 2022