---
title: "Splatt3R"
description: "Splatt3R from University of Oxford (Active Vision Lab): 3d-reconstruction and gaussian-splatting; Verified."
modelId: "splatt3r"
pageSource: generated
---

Splatt3R predicts a 3D Gaussian splat scene directly from an uncalibrated image pair — zero shot, no camera parameters, no per-scene optimization. In this catalog it is fully verified: checkpoint-backed GPU inference produced a finite 344,064-Gaussian PLY from the bundled official-style views, with evidence in inference_evidence.yaml.

<ModelPaperFigures modelId="splatt3r" locale="en" />

The recorded paper is [Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs](https://arxiv.org/abs/2408.13912) (2024).

Project page: [splatt3r.active.vision](https://splatt3r.active.vision/). Code: [btsmart/splatt3r](https://github.com/btsmart/splatt3r).

<ModelCommandBuilder modelId="splatt3r" locale="en" />

## What it is for

`splatt3r` is the recorded reconstruction line. Start here to emit geometry from the documented views.

Per the paper (arXiv 2408.13912), Splatt3R builds on MASt3R's two-view geometry backbone and adds a Gaussian-parameter head. WorldFoundry keeps the runtime under base_models/three_dimensions/general_3d/splatt3r/splatt3r_runtime, importing MASt3R/DUSt3R from their canonical sibling paths; the packaged runtime is inference-only (training loaders and demo code are pruned). It is published by University of Oxford (Active Vision Lab).

Catalog tasks include 3d-reconstruction and gaussian-splatting. Catalog aliases include `splattr` and `splatt3r-official`.

## Runtime contract

Optional `input_path` and `interactions`; artifacts `splatt3r.ply`.

CLI task profiles: `default`. WorldFoundry binds `Splatt3RPipeline`.

Family status: **Verified**.

Splatt3RSynthesis loads the in-tree runtime in-process and emits a PLY Gaussian-splat artifact. Checkpoints stay external assets (brandonsmart/splatt3r_v1.0) — stage them before running.

Runtime code is vendored in-tree under worldfoundry/base_models/three_dimensions/general_3d/splatt3r/splatt3r_runtime; checkpoints remain external assets.

## Running in WorldFoundry

The catalog launch is `worldfoundry-eval run splatt3r --pipeline.task-profile default`. The command builder above switches `--pipeline.task-profile` among recorded tasks and still emits `worldfoundry-eval run`.

It runs in the unified environment `worldfoundry-unified-cu128` (Python 3.11, CUDA 11.3).

Recorded weight repositories include `brandonsmart/splatt3r_v1.0`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh splatt3r`. Add `--download` to fetch missing public checkpoints.

Status: **Verified**.

<ModelRelatedRecipes modelId="splatt3r" locale="en" />