Gaussian Point Splatting
Gaussian Point Splatting is a new method for rendering Gaussian splats efficiently in large scenes. The technique utilizes parallel programming to distribute workloads across millions of threads, allowing for real-time rendering of hundreds of millions of Gaussians. The method addresses challenges in opacity and point distribution while maintaining fidelity to original Gaussian splatting.
- ▪Gaussian Point Splatting is a stochastic method designed for rendering Gaussian splats.
- ▪The method achieves real-time rendering of hundreds of millions of Gaussians using parallel programming techniques.
- ▪It was presented at SIGGRAPH 2026 and addresses challenges related to opacity and point distribution.
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| Original publisher | Momentsingraphics |
| Canonical URL | https://momentsingraphics.de/Siggraph2026.html |
| Publication time | Thu, 04 Jun 2026 10:48:13 +0000 |
| Retrieval time | 2026-06-04T11:01:50.269Z |
| Last seen | 2026-06-04T11:10:34.100Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | MvSygmZJKCx3 |
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| Publisher visit | Yes — open original |
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| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Gaussian Point Splatting Joris Rijsdijk, Christoph Peters, Michael Weinnman, Ricardo Marroquim. 2026–07 in ACM Transactions on Graphics (Proc. SIGGRAPH) 45, 4. Official version Abstract We propose Gaussian point splatting, a stochastic method to render Gaussian splats that scales extremely well to scenes with many Gaussians. Our core idea is to sample pixel-sized, opaque points from the Gaussians and to splat them to a framebuffer using 64-bit atomics. Through parallel programming primitives, we achieve an even distribution of the workload across millions of threads. Since these threads splat points independently, multiple points may splat to the same pixel.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Momentsingraphics.