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Robbyant released an open-source streaming 3D reconstruction model (repo, paper…

Brief

Robbyant published an end-to-end, open-source streaming 3D reconstruction model (repo, paper, and weights linked) that runs in real time from a single camera at ~20 FPS across long sequences. The team emphasizes there are no iterative optimization tricks or post-processing steps and claims superior performance to current streaming methods and multiple offline baselines.

Why it matters

Robbyant released an open-source streaming 3D reconstruction model (repo, paper, and weights available) on 2026-06-27 via @DataChaz.

Key details

  • The model reconstructs scenes live from a single camera at about 20 FPS over long sequences, running in real time and entirely end-to-end with no iterative optimization or post-processing cleanup.
  • According to the announcement, it outperforms existing streaming methods and several offline 3D reconstruction approaches.
Source evidence

🚨 Forget LIDAR.

The Robbyant team just dropped a streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences.

One single camera. Runs in real time. Open-source.

Entirely end-to-end.

NO iterative optimization tricks and no post-processing cleanup steps!

It outperforms both existing streaming approaches and several offline methods.

100% Free and open-source.

Repo, paper and model weights in 🧵↓

Video