SIGGRAPH talk shows fast signed-distance computation for challenging point clouds
keenanisalive · x · 2026-07-21
Nicole Feng shared a recording of her 11-minute SIGGRAPH talk along with slides.
Her paper, "Points as Tori: Fast Pointwise Signed Distance for Point Clouds," focuses on computing signed distance in point clouds, a particularly difficult setting for geometry processing.
The post is essentially a pointer to the talk and paper, and invites questions from the audience.
Related event: SIGGRAPH Presents Fast Point Cloud SDF Method(2 posts)→
More from Research
- Style-similarity analysis puts Kimi K3 closer to Claude Fable 5 than to K2.6 — soumitrashukla9 · 2026-07-21
- A GLP1R variant may explain stronger Ozempic weight loss, and the team built an agent workflow — julia_kiseleva · 2026-07-21
- Proceedings for the second geometry-grounded representation learning workshop are now online — erikjbekkers · 2026-07-21
- New survey maps how agentic systems are learning to improve themselves — SchmidhuberAI · 2026-07-21
- A curated TTS list for voice agents tracks latency, cancellation, and evals — mahimairaja · 2026-07-21
- Jacob Tsimerman interview frames LLMs as a turning point for mathematical discovery — stevenstrogatz · 2026-07-21