Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis — mentioned by mkeeter

Tue, 03 Nov 2026 22:09:33 GMT

Thank you for the kind words! Raymarching is great, and I love the work being done by the demoscene / Inigo Quilez / etc! I don't talk about it as much because my libraries usually have slightly different goals. Most common raymarching strategies put limitations on your function, e.g. you need Lipschitz continuity to guarantee that you don't hit the model when doing ray steps. This property are pretty easy to break by accident (e.g. just scaling the model requires a correction factor), so you have to be careful with how you bend and twist the underlying math expression. If you're doing a…

Paper and discussion history. A mention is not an endorsement.

Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis — mentioned by mkeeter

Sat, 31 May 2025 14:49:17 GMT

Interesting post, thanks for the link! You may also enjoy "Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis", which uses interval arithmetic (ish) to raymarch neural implicit surfaces: https://arxiv.org/abs/2202.02444

Paper and discussion history. A mention is not an endorsement.

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

Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis — mentioned by mkeeter

Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis — mentioned by mkeeter