Jiahui Fan (樊 家辉)

Jiahui Fan Postdoctoral Researcher
Dr.-Ing

Computer graphics / 3D vision

Visual Computing & AI Lab,
School of Computation, Information and Technology (CIT),
Technical University of Munich (TUM),
Garching, Germany
Also find me at: ORCID, GitHub. Email: jiahui.fan.1998 АТ gmail.com
My curriculum vitae: CV@2026.pdf.



Hello, there!

click Obi-wan and say hi~

Hi! I'm Jiahui. I'm currently a post-doc researcher of Visual Computing & AI Lab at Technical University of Munich (TUM), led by Prof. Dr. Matthias Nießner. I received my Ph.D at Nanjing University of Science and Technology (NJUST) in Nov. 2025, advised by Prof. Jian Yang and Prof. Beibei Wang.

As a young Padawan in Graphics, I started my journey in realistic rendering since my first year of Ph.D in 2020, when I received my Bachelor's at NJUST in the same year. My research is centered on the intersection between AI and graphics, including neural appearance modeling and inverse rendering. I typically study the efficient representation and acquisition of complex materials, as well as the reconstruction and generation of 3D assets.

Apart from my research, I'm also deeply interested in modern dramas and movies (acting, screenwriting and directing), music theory, Formula 1 racing, TRPGs (scriptwriting and hosting), video games, learning foreign languages, and of course, making new friends!

FEEL FREE TO GET IN TOUCH WITH ME!


What am I doing?

My research interests lie in pushing the boundary of realism with better applicable intelligence, specifically:


Where have I been?



Honors and Rewards



Publications

*: corresponding author(s).

Free Your Hands: Lightweight Relightable Turntable Capture Pipeline

Free Your Hands: Lightweight Turntable-Based Object Capture Pipeline

Jiahui Fan, Fujun Luan, Jian Yang*, Miloš Hašan, Beibei Wang*
ArXiv
[paper (+supplementary)] [URL]
RNG: Relightable Neural Gaussians

RNG: Relightable Neural Gaussians

Jiahui Fan, Fujun Luan, Jian Yang*, Miloš Hašan, Beibei Wang*
Proceedings of CVPR 2025
[paper (+supplementary)] [video] [URL] [code]
Neural Biplane Representation for BTF Rendering and Acquisition

Neural Biplane Representation for BTF Rendering and Acquisition

Jiahui Fan, Beibei Wang*, Miloš Hašan, Jian Yang* and Ling-Qi Yan
Proceedings of SIGGRAPH 2023
[paper] [supplementary] [presentation video] [URL] [code]
Neural Layered BRDFs

Neural Layered BRDFs

Jiahui Fan, Beibei Wang*, Miloš Hašan, Jian Yang* and Ling-Qi Yan
Proceedings of SIGGRAPH 2022
[paper] [errata] [supplementary] [video] [URL] [code]
Position-free Multiple-bounce Computations for Smith Microfacet BSDFs

Position-free Multiple-bounce Computations for Smith Microfacet BSDFs

Beibei Wang, Wenhua Jin, Jiahui Fan, Jian Yang, Nicolas Holzschuch and Ling-Qi Yan
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022)
[paper] [supplementary]
Efficient Specular Glints Rendering with Differentiable Regularization

Efficient Specular Glints Rendering with Differentiable Regularization

Jiahui Fan, Beibei Wang*, Wenshi Wu, Miloš Hašan, Jian Yang* and Ling-Qi Yan
IEEE Transactions on Visualization and Computer Graphics
[paper] [video]