Giljoo Nam is an AI researcher who combines computer graphics, vision, and machine learning to develop innovative solutions for 3D digital content creation. His research focuses on democratizing content creation technologies, including large-scale 3D generative models, neural rendering, material appearance modeling, and photorealistic digital humans. By leveraging various datasets such as multi-view videos from specialized capture systems and uncurated in-the-wild images, his research enables automatic and easy creation of high-quality digital content. His research has been published in top-tier conferences, including SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, and NeurIPS. His work has also resulted in multiple successful open-source projects, including photorealistic avatars, 3D hair modeling, and physically-based rendering of hair.

2020 - now: Research Scientist, Meta, United States
2019: Ph.D. in Computer Science, KAIST, Korea (advisor: Min H. Kim)

[email] giljoonam [at] meta.com / namgiljoo [at] gmail.com
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