Minguk Kang

Ph.D. student in the Computer Vision Lab at POSTECH.

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I am a 4th year Ph.D. student in Graduate School of AI at POSTECH, where I am a member of the Computer Vision Lab under the supervision of Prof. Jaesik Park. I received B.S. in Engineering at Pusan National University.

I focus on computer vision, particularly on the subject of generative modeling and how it can be applied. I am fascinated by the diverse range of vision-related tasks that Generative Adversarial Networks (GANs) can potentially assist with. If you would like to know more about the research projects that I am working on, do not hesitate to reach out to me.

Email: mgkang@postech.ac.kr

Education

Feb, 2020 - Present Pohang University of Science and Technology (POSTECH), Pohang, South Korea
Integrated M.S./Ph.D. student in Graduate School of AI
Mar, 2013 - Aug, 2019 Pusan National University, Pusan, South Korea
B.S. in Engineering (Major: Mechanical Engineering and Minor: Statistics)

Experience

Jul, 2022 - Present Adobe Research Creative Intelligence Lab, Remote work
Feb, 2020 - Present Computer Vision Lab, POSTECH, Pohang, South Korea
  • Integrated M.S./Ph.D. student
  • Supervisor: Prof. Jaesik Park
Aug, 2017 - Jan, 2020 Vision and Intelligent System Lab, Pusan National University, Pusan, South Korea

Publications

  1. Scaling up GANs for Text-to-Image Synthesis
    Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris,  and Taesung Park
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    Paper Website
  2. Context-Aware Image Completion
    Jinoh Cho, Minguk Kang, Vibhav Vineet,  and Jaesik Park
    arXiv preprint arXiv:2210.12350 2022
    Paper
  3. StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
    Minguk Kang, Joonghyuk Shin,  and Jaesik Park
    arXiv preprint arXiv:2206.09479 2022
    Paper Code
  4. Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
    Minguk Kang, Woohyeon Shim, Minsu Cho,  and Jaesik Park
    Advances in Neural Information Processing Systems (NeurIPS), 2021
    Paper Code
  5. ContraGAN: Contrastive Learning for Conditional Image Generation
    Minguk Kang,  and Jaesik Park
    Advances in Neural Information Processing Systems (NeurIPS), 2020
    Paper Code

Honors and Awards

BK21 outstanding paper awards (2022)
  • 1st prize ($750) - Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training (NeurIPS2021)
Qualcomm Innovation Fellowship Korea (2021)
  • Winner ($3,000) - ContraGAN: Contrastive Learning for Conditional Image Generation (NeurIPS2020)
16th Samsung Electro­Mechanics Paper Awards (2020)
  • Silver prize ($2,500)
National Science and Engineering Scholarship (2013-2019)
  • Received full scholarship for 8 semesters ($15,000)