🔎 Research Interests

AI + Physically based rendering

I am highly interested in utilizing deep learning more effectively for photorealistic rendering. During my master’s and doctoral courses, I have focused on using deep learning techniques for image reconstruction for Monte Carlo rendering and tried to solve existing rendering-specific problems via learning-based methodology.

Image restoration problem

I am also interested in how to effectively reduce different types of errors in a generic image. Specifically, I have been exploring a denoising method guided by an auxiliary image with less noise in recent years.

🎓 Education

Gwangju Institute of Science and Technology (GIST)

Ph.D. in School of Integrated Technology (SIT), Gwangju, South Korea – (September 2019 - August 2024)

Thesis: Reconstruction Techniques for Independent and Correlated Pixel Estimates

Advisor: Bochang Moon

Gwangju Institute of Science and Technology (GIST)

M.S. in School of Integrated Technology (SIT), Gwangju, South Korea – (March 2018 - August 2019)

Thesis: New Feature Generation for Denoising Gradient-Domain Rendering

Advisor: Bochang Moon

Sejong University

B.S. in Information and Communication Engineering (ICE), Seoul, South Korea – (March 2011 - February 2017)

GPA: 4.26/4.5 (Summa Cum Laude)