Curious about how decommissioned wind turbine blades can become domino-like modules for pump tracks? Check out our case study “From Blades to Tracks”, joint work with TU Delft | IDE presented at the 10th ACM Symposium on Computational Fabrication at MIT!

Webpage: www-sop.inria.fr/reves/Basili...

It was so good to be in Vancouver to present our work “Interactive Optimization of Scaffolded Procedural Patterns” at #Siggraph2025!

If you couldn’t make it, have a look at our project page!
💻 marzia-riso.github.io/iospp.html

Can’t wait for what’s next! 🎉

The gradient-free optimization enables fast optimization over both continuous and discrete parameters, while GPU-accelerated SDF evaluation keeps the optimization loop interactive. Together, they let us achieve real-time interaction even for complex, highly parameterized procedural patterns.

Each new sketch triggers a gradient-free optimization process that minimizes a weighted per-pixel distance between the pattern’s SDF and the stroke SDF. The weights extracted from the both pattern and "Void" strokes enable focusing on drawn regions as well as empty ones.

We model a procedural pattern generator as a sequence of functions called Levels, where each Level’s parameters form a superset of the previous one
This enables coarse-to-fine optimization, where earlier parameters are inherited and new ones are optimized.

In our #SIGGRAPH2025 paper “Interactive Optimization of Scaffolded Procedural Patterns”, we introduce a new way to define and optimize procedural patterns in a sketch-based interactive design workflow.