Single-camera, open-source streaming 3D model (Robbyant/ling...) reconstructs…

Brief

A Robbyant project presents an open-source, end-to-end streaming 3D reconstruction model that uses a single camera to build live scene models at ~20 FPS across long sequences. The authors claim it requires no optimization or cleanup heuristics and still outperforms competing streaming approaches and some offline methods; code, models, a project page, and arXiv paper (2604.14141) are provided.

Key details

Model is end-to-end with no extra optimization tricks or cleanup steps, yet reportedly outperforms other streaming systems and some offline reconstruction methods.

Code and artifacts: GitHub (github.com/Robbyant/lingbot-…), model on Hugging Face (huggingface.co/robbyant/ling…), project page (technology.robbyant.com/ling…), and paper arXiv:2604.14141; post credited @YinghaoXu1 and shared by @IlirAliu_ (published 2026-06-26).

Forget lidar.
One single camera.
Runs in real time & is open source:

A streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences.

End-to-end.

Optimization tricks, cleanup steps?

Nope.

And it beats both streaming and even some offline methods.

Perception is becoming software-first.

Closer to machines that see and understand the world as it unfolds.

Thanks for sharing, @YinghaoXu1

📍Models: huggingface.co/robbyant/ling…
Project page: technology.robbyant.com/ling…
Code: github.com/Robbyant/lingbot-…
Paper: arxiv.org/abs/2604.14141

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