CV
General Information
| Full Name | Minguk Kang |
| minguk@pika.art, mingukkang1994@gmail.com | |
| Website | mingukkang.github.io |
| Google Scholar | Profile |
| GitHub | MINGUKKANG |
| X | @minguk_kang |
Education
- 02/2020 - 02/2026
Ph.D. in Graduate School of AI
Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea
- Advisors: Prof. Suha Kwak (2023-2026) and Prof. Jaesik Park (2020-2023)
- Thesis: Efficient Deep Generative Models for Visual Content Generation
- GPA: 4.09/4.30
- 03/2013 - 08/2019
B.S. in Engineering
Pusan National University, Busan, Republic of Korea
- Major: Mechanical Engineering; Minor: Statistics
- Graduated summa cum laude, ranked 1st among 394 students in the College of Engineering.
Experience
- 11/2024 - Present
Founding Research Scientist
Pika Labs, South Korea (Remote)
- Core contributor to video generation models, an audio-driven performance model, and PikaStream1.0.
- Developed tokenizers, distillation pipelines, fast super-resolution methods, and real-time video agent system components.
- 06/2024 - 10/2024
Research Scientist Intern
Pika Labs, Korea (Remote) / Palo Alto, USA
- Worked with Chenlin Meng on video generation research.
- 07/2022 - 05/2024
Research Scientist Intern
Adobe Research, Korea (Remote) / San Francisco, USA
- Mentors: Taesung Park, Connelly Barnes, Eli Shechtman, Jun-Yan Zhu, Richard Zhang, Sylvain Paris
- GigaGAN (CVPR 2023) contributed to the development of Adobe Firefly.
- 08/2017 - 01/2020
Undergraduate Research Student
Vision and Intelligent System Laboratory, Pusan National University
- Advisor: Prof. Dongjoong Kang
Research Interest
- Efficient generative AI systems for real-time content generation across video, audio, and multimodal settings.
- High-compression, low-latency tokenizers, few-step diffusion distillation methods, and fast super-resolution pipelines for interactive generation.
- Scalable training of GANs and diffusion models, tokenizer design and diffusibility, and multimodal generative modeling.
Products and Software
Selected Awards
- Outstanding Reviewer, European Computer Vision Association, 2024
- Graduate School Presidential Science Scholarship, Korea Student Aid Foundation, 2024
- 2nd Prize, BK21 Outstanding Paper Awards, POSTECH Graduate School of AI, 2024
- 1st Prize, BK21 Outstanding Paper Awards, POSTECH Graduate School of AI, 2022
- Qualcomm Innovation Fellowship Korea, Qualcomm, 2021
- Silver Prize, 16th Samsung Electro-Mechanics Paper Awards, 2020
- National Science and Engineering Scholarship, Korea Student Aid Foundation, 2013-2019
Academic Services
- Conference Reviewer 2026: CVPR, NeurIPS
- Conference Reviewer 2024: ECCV, SIGGRAPH Asia
- Conference Reviewer 2023: ICML, ICCV, NeurIPS
- Conference Reviewer 2022: ICLR, CVPR, ECCV, NeurIPS
- Journal Reviewer: TPAMI, IJCV
Proficiencies
- Korean (Native), English (Professional Working Proficiency)
- PyTorch (Advanced), TensorFlow (Advanced)