# PKU-VCL-3DV/SLAM3R

[CVPR 2025 Highlight] Real-time dense scene reconstruction with SLAM3R

Repository: https://github.com/PKU-VCL-3DV/SLAM3R
Canonical: https://ross.abutalabs.com/products/slam3r
Language: Python
License: NOASSERTION
License Family: other
Last push: 2025-10-18T10:20:36+00:00

## Health v2 (maintenance only)
Score: 42/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 47, release rhythm 35, longevity 45
- inputs: {"age_days": 630, "days_push": 319, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1344, forks 102 (observed 2026-08-28T04:04:27.187988+00:00)

## What it is
SLAM3R is a real-time dense 3D scene reconstruction system that regresses 3D points from monocular RGB video using feed-forward neural networks, without explicitly estimating camera parameters. It is the research code release for a CVPR 2025 highlight paper, including demos, a Gradio interface, evaluation, and training pipelines.

## Use cases
- reconstruct dense 3D scenes from monocular RGB video in real time
- run SLAM without estimating camera intrinsics or pose explicitly
- evaluate dense reconstruction quality on the Replica dataset
- train a feed-forward point regression model for 3D reconstruction
- visualize online 3D reconstruction from self-captured video

## When to choose
- you need real-time dense 3D reconstruction from plain RGB video without depth sensors
- you want a learning-based alternative to traditional SLAM pipelines
- you are doing research on feed-forward 3D scene reconstruction

## When to avoid
- you need a production SLAM system for robotics navigation with loop closure and localization guarantees
- you lack a CUDA-capable GPU
- you need LiDAR or RGB-D input support

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, machine-learning, deep-learning, simulation, graphics
- domain: computer-vision, robotics, deep-learning, autonomous-vehicles
- platform: python
- tags: slam, 3d-reconstruction, monocular-video, point-cloud, neural-networks, cvpr-2025, real-time, gradio, linux, gpu

## Member repositories
- PKU-VCL-3DV/SLAM3R (main) score 42

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:27.187988+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:42:48.808975+00:00, confidence not recorded.
  - readme: https://github.com/PKU-VCL-3DV/SLAM3R (fetched 2026-08-28T04:04:27.187988+00:00, sha 8dca4ff112e6)
- Data as of 2026-08-30T08:39:29.467469+00:00.