Presentation
Graphics4Science 2026: Graphics for Cross-Scale Reliable Scientific Instruments
DescriptionComputer 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, Graphics4Science 2026 adopts a workshop-style format with fewer broadcast talks, deeper technical presentations, and more 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 highlighting advances from the community.
As graphics-based methods move from retrospective analysis toward guiding experiments and engineering decisions, a shared requirement across these areas is reliability. In this workshop, reliable scientific instruments refers to methods and systems that remain useful under scientific constraints, including limited or noisy measurements, distribution shift across instruments and conditions, and the need to communicate uncertainty.
This notion of reliability includes physical and geometric validity, numerical stability under perturbations, calibrated uncertainty estimates, and clearly stated assumptions and failure modes. It also includes practical concerns such as reproducible pipelines, transparent reporting, and interfaces that allow scientists to interrogate and stress-test results rather than treating models as black boxes.
Against this backdrop, Graphics4Science 2026 aims to move beyond a catalog of applications toward an actionable technical agenda for graphics-enabled science. A unifying theme of the workshop is translation: connecting computational methods to scientific constraints, evaluating progress when ground truth is limited, and packaging techniques into practical tools that domain experts can trust, use, and iterate on.
As graphics-based methods move from retrospective analysis toward guiding experiments and engineering decisions, a shared requirement across these areas is reliability. In this workshop, reliable scientific instruments refers to methods and systems that remain useful under scientific constraints, including limited or noisy measurements, distribution shift across instruments and conditions, and the need to communicate uncertainty.
This notion of reliability includes physical and geometric validity, numerical stability under perturbations, calibrated uncertainty estimates, and clearly stated assumptions and failure modes. It also includes practical concerns such as reproducible pipelines, transparent reporting, and interfaces that allow scientists to interrogate and stress-test results rather than treating models as black boxes.
Against this backdrop, Graphics4Science 2026 aims to move beyond a catalog of applications toward an actionable technical agenda for graphics-enabled science. A unifying theme of the workshop is translation: connecting computational methods to scientific constraints, evaluating progress when ground truth is limited, and packaging techniques into practical tools that domain experts can trust, use, and iterate on.
Organizers
Event Type
Technical Workshop
TimeMonday, 20 July 20269:00am - 12:15pm PDT
LocationRoom 406 AB
New Technologies
Research & Education
Animation
Artificial Intelligence/Machine Learning
Computer Vision
Digital Twins
Dynamics
Education
Fabrication
Generative AI
Geometry
Image Processing
Math Foundations and Theory
Modeling
Physical AI
Rendering
Scientific Visualization
Simulation
Spatial Computing
Full Conference Supporter
Full Conference
