I am a Ph.D. candidate in the Computer Graphics Laboratory at
GIST.
My research focuses on sampling, reconstruction, and learning-based methods
for efficient, high-quality Monte Carlo rendering.
Publications
Research Areas
Monte Carlo Rendering
Sampling & Reconstruction
Neural Denoising
Real-time Rendering
Online Learning
Efficient Sampling and Reconstruction for Monte Carlo Light Transport
Ongoing work
Investigating how sampling and reconstruction can be jointly designed for efficient Monte Carlo light transport.
Online Neural Denoising with Cross-Regression for Interactive Rendering
Hajin Choi, Seokpyo Hong, Inwoo Ha, Nahyup Kang, Bochang Moon
@ARTICLE{wlee22online,
author={Lee, Wonjun and Jeong, Piljoong and Choi, Hajin and Kim, Jinwoo and Moon, Bochang},
journal={IEEE Access},
title={Online Illumination Learning for Interactive Global Illumination in Augmented Reality},
year={2022},
month={oct},
day={13},
volume={10},
number={},
pages={109498-109509},
doi={10.1109/ACCESS.2022.3214516}
}
Consistent Post-Reconstruction for Progressive Photon Mapping
Hajin Choi and Bochang Moon
Computer Graphics Forum (Proceedings of Pacific Graphics 2021), 40(7), pp. 121-130, October 2021