Computer Graphics Lab at GIST

Computer Graphics lab (CGLab) has focused on devising efficient and effective rendering techniques for various rendering-related applications such as movies, animations, games, and immersive technology (AR and VR) where synthesizing photorealistic images is necessary.


Deep learning for photorealistic rendering

We have actively studied regression and learning techniques that estimate the ground truth image from sparse (noisy) samples to generate photo-realistic rendering images more efficiently. We have recently developed novel local regression-based techniques and deep-learning methods that significantly improve the quality of rendering images generated by Monte Carlo ray-tracing algorithms (e.g., path tracing).

Differentiable rendering and neural rendering

We have recently been conducting research on various inverse rendering problems. This research topic includes differentiable rendering techniques for optimizing scene parameters from rendered images, as well as neural rendering methods like the neural radiance field for synthesizing novel view images from sparse input images.

Effective sampling for ray tracing

Ray tracing is a fundamental technology widely adopted for photorealistic light transport algorithms. Nevertheless, achieving a converged and clean image through ray tracing requires a significant amount of computational time. We aim at accelerating ray tracing by developing novel sampling algorithms and optimization techniques.

Photorealistic integration of virtual objects into real scenes for AR

Visually integrating virtual objects into real environments is a crucial ingredient for photo-realistic augmented reality (AR). We have worked on novel techniques that capture the real scene's illumination and interactively render virtual objects using the estimated light to accomplish the research goal.

Openings for Undergraduate Intern

We are currently accepting undergraduate interns only if you are interested in joining our lab as a graduate student in the future. In this case, please send your resume to Prof. Bochang Moon (bmoon (at)

Openings for M.S. and Ph.D. students

If you are interested in pursuing research on computer graphics (especially in rendering) as a student member, please feel free to send your resume to Prof. Bochang Moon (bmoon (at)

대학원생 및 학부생 인턴 모집 안내

광주과학기술원 컴퓨터 그래픽스 연구실은 영화, 애니메이션, 게임, 몰입형 기술(AR, VR) 등 사실적인 묘사가 요구되는 응용 분야에서 활용하기 위한 효율적인 렌더링 기술을 연구합니다. 주된 연구 분야는 다음과 같습니다.

현재, 석사/박사 과정 대학원생 및 장래 우리 연구실에 진학하고자 하는 학부 인턴을 모집하고 있습니다. 관심있는 학생들은 아래 이메일로 이력서를 보내주세요.


bmoon (at) (Bochang Moon)

+82-62-715-5341 (Bochang Moon)

104 Dasan Bldg., 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005 South Korea