Gaussian Splatting
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A to Z
- A · App
- No
- B · Built By
- Community
- C · CEO & Politics
- N/A (academic research) — No public partisan activity documented
- D · Date
- 2023
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- Open-source/community
- K · Key Staffers
- Bernhard Kerbl (Co-lead author), Georgios Kopanas (Co-lead author), George Drettakis (Senior author)
- L · Languages
- English-primary
- M · Model Type
- 3D Rendering
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free for non-commercial research and evaluation (Inria/MPII license; commercial use needs Inria's consent)
- Q · AIDb Rating
- [UNKNOWN]
- R · What Makes It Special
- 3D Gaussian Splatting (SIGGRAPH 2023), a radiance-field method from Inria, Université Côte d'Azur and the Max Planck Institute for Informatics (Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler and George Drettakis) that represents a photographed scene as optimized 3D Gaussians and draws them with a fast visibility-aware rasterizer, giving state-of-the-art quality with competitive training times and, unlike earlier methods, real-time (30+ fps) novel-view rendering of complete scenes at 1080p.
- S · Stock / Status
- Research / open-source project
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- [UNKNOWN]
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights 3D Rendering from Community, released 2023.
Data completeness 81% · Last verified 2026-05-12 · Primary source ↗
Cite this
“Gaussian Splatting.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/gaussian-splatting.html
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