A five-year Ph.D. candidate at Gwangju Institute of Science and Technology (GIST)
βοΈ jongheeback (at) gm.gist.ac.kr
jongheeback2020 (at) gmail.com
π c11.kr/jh-back
π₯ linkedin.com/in/jonghee-back
βοΈ (+82) 62-715-5342
I am highly interested in utilizing deep learning more effectively for photorealistic rendering. For the past three years, I have been focusing on using deep learning techniques for image reconstruction for Monte Carlo rendering and trying to solve existing rendering-specific problems via learning-based methodology.
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.
Ph.D. candidate in School of Integrated Technology (SIT), Gwangju, South Korea β (September 2019 - August 2024 (expected))
Advisor: Bochang Moon
M.S. in School of Integrated Technology (SIT), Gwangju, South Korea β (March 2018 - August 2019)
Thesis: New Feature Generation for Denoising Gradient-Domain Rendering
Advisor: Bochang Moon
B.S. in Information and Communication Engineering (ICE), Seoul, South Korea β (March 2011 - February 2017)
GPA: 4.24/4.5 (Summa Cum Laude)