Nerfstudio
The open framework for NeRF and Gaussian Splatting research.
The INRIA original — train your own splats.
Runs locally · Mid GPU (12 GB)
Hard floor at 12 GB; 24 GB needed for typical room-scale scenes.
No paywall, no signup wall — you can use 3D Gaussian Splatting today without handing over an email.
Comfortable on a mid-range consumer card — no need to remortgage for an A100.
Power-user score 88/100 — consistently rated highly by people who use this every day, not just benchmark chasers.
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
A standard local install — download, install dependencies, point at your GPU.
Needs 12 GB minimum — RTX 3060 12GB or 4070 territory.
Not open source and no public API — what you see is what you get.
325 days since the last refresh — treat hardware numbers as a floor, not a ceiling.
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
Three picks across different tradeoffs — so you don't end up with three near-clones of 3D Gaussian Splatting.
The open framework for NeRF and Gaussian Splatting research.
NVIDIA's seconds-to-train hash-grid NeRF.
Phone-scan to NeRF, Genie text-to-3D, and Dream Machine video.
The original Gaussian Splatting code release from INRIA / Université Côte d'Azur — the paper that broke NeRF's stranglehold by being faster to train and dramatically faster to render. Not as friendly as Nerfstudio, but it's the reference for the technique that's now everywhere in 3D capture.
Free for academic / non-commercial research; commercial use requires INRIA licence.
The open framework for NeRF and Gaussian Splatting research.