Graphics4Science: Computer Graphics for Scientific Impacts
Name
3721241.3733986.pdf
Size
5.46 MB
Format
Adobe PDF
Checksum (MD5)
3079a8659043b519d65c2de99e10d769
Author(s)
Chen, Peter Yichen
Guo, Minghao
Pfister, Hanspeter
Lin, Ming
Freeman, William
Huang, Qixing
Shen, Han-Wei
Matusik, Wojciech
Date Issued
August 14, 2025
Publisher
ACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference Courses
Citation
Peter Yichen Chen, Minghao Guo, Hanspeter Pfister, Ming Lin, William Freeman, Qixing Huang, Han-Wei Shen, and Wojciech Matusik. 2025. Graphics4Science: Computer Graphics for Scientific Impacts. In Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Courses (SIGGRAPH Courses '25). Association for Computing Machinery, New York, NY, USA, Article 21, 1–3.
Version
Final published version
Abstract
Computer graphics, often associated with films, games, and visual effects, has long been a powerful tool for addressing scientific challenges—from its origins in 3D visualization for medical imaging to its role in modern computational modeling and simulation. This course explores the deep and evolving relationship between computer graphics and science, highlighting past achievements, ongoing contributions, and open questions that remain. We show how core methods, such as geometric reasoning and physical modeling, provide inductive biases that help address challenges in both fields, especially in data-scarce settings. To that end, we aim to reframe graphics as a modeling language for science by bridging vocabulary gaps between the two communities. Designed for both newcomers and experts, Graphics4Science invites the graphics community to engage with science, tackle high-impact problems where graphics expertise can make a difference, and contribute to the future of scientific discovery. Additional details are available on the course website: https://graphics4science.github.io.
Description
SIGGRAPH Courses ’25, Vancouver, BC, Canada
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3721241.3733986
