Minguk Kang
I am a 5th 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. Suha Kwak (2023–present). Previously, I was part of the same lab under the supervision of Prof. Jaesik Park (2020–2023). From 2022 to 2024, I interned at Adobe Research, collaborating with wonderful colleagues: Taesung Park, Jun-Yan Zhu, Richard Zhang, Eli Shechtman, Sylvain Paris, and Connelly Barnes, where my research contributed to the development of Firefly. Previously, I received my B.S. in Engineering from Pusan National University.
Starting in November 2024, I joined Pika as a Founding Research Scientist, expanding my experience in video generation.
My research focuses on computer vision, particularly visual generative modeling and its applications. I am fascinated by the diverse range of vision-related tasks that Generative Adversarial Networks (GANs) can assist with. I am also interested in training large-scale diffusion models and exploring their applications. If you would like to know more about my research projects, please feel free to reach out to me.
Email: mingukkang1994@gmail.com, 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 |
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Mar, 2013 - Aug, 2019 | Pusan National University, Pusan, South Korea B.S. in Engineering (Major: Mechanical Engineering and Minor: Statistics) |
Experience
Nov, 2024 - Present | Pika labs, Remote work at Korea
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Jun, 2024 - Oct, 2024 | Pika labs, Palo Alto, United States of America
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Jul, 2022 - May, 2024 | Adobe Research Creative Intelligence Lab, Remote work at Korea & Onsite work at San Francisco
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Feb, 2020 - Present | Computer Vision Lab, POSTECH, Pohang, South Korea
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Aug, 2017 - Jan, 2020 | Vision and Intelligent System Lab, Pusan National University, Pusan, South Korea
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Softwares
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Publications
- Context-Aware Image CompletionIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023
Honors and Awards
Outstanding Reviewer, European Computer Vision Association (2024)
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