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LingBot-Map

Feed-forward transformer that rebuilds 3D scenes from streaming video

  • AI models and runtimes
  • Education
View on GitHub

What it is

LingBot-Map is a research model and codebase for streaming 3D reconstruction that estimates camera poses and dense geometry frame by frame from video, relying on anchor context, a window of reference poses, and a memory of past trajectory to keep drift in check. Paged KV cache attention keeps inference around 20 FPS over sequences of more than 10,000 frames. The repo ships weights on Hugging Face and ModelScope, an interactive browser viewer, an offline rendering pipeline, and benchmark scripts for datasets such as KITTI and Oxford Spires. Computer vision and robotics researchers can use it to map long indoor, outdoor, or aerial walkthroughs.

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Facts

Stars
18,158 GitHub stars.
18,158

Forks
1,990
Commits
123
Contributors
3
Language
Python
License
Apache-2.0
Last commit
Oct 14, 2026
On GitHub since
April 2026
Platforms
Linux, library
Self-hostable
No
Tags
  • robotics
  • open-weights
  • 3d-reconstruction
  • computer-vision

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 20, 2026
  • Hacker NewsLingbot-map: A 3D foundation model for reconstructing scenes from streaming dataJul 17, 2026 · 26 points · 1 comment (opens Hacker News in a new tab)
  • Bluesky“this thing is genuinely incredible??? what the hell”Jul 17, 2026 · 5 likes · 1 reply (opens Bluesky in a new tab)
  • Hacker NewsLingBot-Map: Geometric Context Transformer for Streaming 3D ReconstructionApr 18, 2026 · 4 points · 0 comments (opens Hacker News in a new tab)