Graphics4Science: Graphics for Cross-Scale Reliable Scientific Instruments

SIGGRAPH 2026 Workshop

[TBD]

Workshop Description

Computer graphics is increasingly central to modern scientific discovery, providing not only visualization but also physically grounded modeling, simulation, inverse problem formulations, and interactive systems for hypothesis generation. Building on the Graphics4Science course at SIGGRAPH 2025, the 2026 edition shifts to a workshop-style format with fewer broadcast talks, more technical dives, and more in-depth discussion. The program features four keynotes spanning computational imaging, scientific reconstruction for structural biology, generative modeling for molecular structures, and reduced-order modeling for physical simulation, complemented by two curated lightning-talk sessions that highlight the most recent advances from the broader community.

Preview image

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Speakers

Ellen D. Zhong
Ellen D. Zhong
Princeton University
Karsten Kreis
Karsten Kreis
NVIDIA

Organizers

Minghao Guo
Minghao Guo
CSAIL, MIT
Qixing Huang
Qixing Huang
The University of Texas at Austin
Yin Yang
Yin Yang
University of Utah
Wojciech Matusik
Wojciech Matusik
CSAIL, MIT
Peter Yichen Chen
Peter Yichen Chen
University of British Columbia

Acknowledgement

We thank Siyuan Chen, Caoliwen Wang, and Kevin Chen for their help in preparing the course website, setting up group chats, and refining the slides.

Sponsors

XTaiPi Foundry UBC