A Dataset and Explorer for 3D Signed Distance Functions (SDFs) - JCGT / i3D 2022

This talk recording describes a dataset and an explorer to visualize, analyze and work with signed distance functions (SDFs). This paper was published at the Journal of Computer Graphics Techniques (JCGT) and presented at the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D).
Useful for computer graphics, computer vision, machine learning, physics simulation, mathematical art, and more!
Webpage: tovacinni.github.io/sdf-explo...
Code: github.com/tovacinni/sdf-expl...

[@swamihuman9395]

- Fascinating.
- Well-presented; nice job overall.

[@alexfrozen]

Is it legal to use SDFs from Inigo Quilez here? It's strictly prohibited by himself.

[@deumnoctis]

Nice vid