Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis

Efficiently evaluate geometric queries like ray casting, intersection testing, closest-point, and more on existing neural implicit surface architectures. Works on general (not-necessarily-SDF) networks, so it can be used e.g. for occupancy networks or after random initialization.

By Nicholas Sharp and Alec Jacobson

ACM Trans. on Graph. (SIGGRAPH 2022) **Best Paper Award**

→ paper/code/data

→ JAX implementation

[daniel-mika]

This is a great work. Thank you for sharing!