Namhyuk Ahn

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[Google Scholar] [CV]

I am AI researcher at NAVER WEBTOON, where my expertise lies in computer vision. Specifically, my interests span in the design and implementation of generative AI models that are user-centric, and devising strategic approaches to making these models accessible to the users.

Before joining Webtoon AI, I recieved my Ph.D. from Ajou University in 2021 under the guidance of Prof. Kyung-Ah Sohn. During that time, my works primarily revolved around image enhancement and restoration projects, including image super-resolution. Prior to this, I obtained my Bachelor’s degree in Media from Ajou University in 2016.

At present, I am particularly interested in the creation of user-friendly tools for content generation. My ultimate goal is to establish a user-informed framework for media generation, translation, or manipulation, utilizing the power of contemporary generative AI models.

selected publications

  1. aaai2024a.gif
    DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
    Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong
    In AAAI, 2024
    arXiv Project Github
  2. arxiv2023b.gif
    DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models
    Sungnyun Kim*, Junsoo Lee*, Kibeom Hong, Daesik Kim, Namhyuk Ahn
    arXiv preprint arXiv:2305.15194, 2023
    arXiv Project Github
  3. cvpr2023a.gif
    Interactive Cartoonization with Controllable Perceptual Factors
    Namhyuk Ahn, Patrick Kwon, Jihye Back, Kibeom Hong, Seungkwon Kim
    In CVPR, 2023
    arXiv
  4. cvpr2020a.gif
    Rethinking Data Augmentation for Image Super-Resolution: A Comprehensive Analysis and a New Strategy
    Jaejun Yoo*, Namhyuk Ahn*, Kyung-Ah Sohn
    In CVPR, 2020
    arXiv Github
  5. eccv2018a.gif
    Fast, Accurate, and Lightweight Super-Resolution With Cascading Residual Network
    Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn
    In ECCV, 2018
    arXiv Github