amap-cvlab/ABot-Recon

Streaming 3D reconstruction from only video input: Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction

Science & researchPython#3d-reconstruction#slam#abot-recon

2.0 Steady Magnitude out of 10. Star growth looks organic. Data as of September 18, 2026.

Open on Seismograph Open on GitHub

About the project

ABot-Recon is a streaming 3D reconstruction model that uses a fixed 12-frame local context per step, predicting a point map and adjacent relative pose, then composing them into a global trajectory and point cloud.

Useful for

Reconstruct camera trajectory and point cloud from a long video sequence
Run GPU inference via the Python API or demo.py with the released checkpoint
Refine trajectory on revisited scenes using optional loop closure

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

12 stars so far today, about 17 expected by the end of the day.
The repository is 22 days old and already has 887 stars.
Top new repositories this month: #98.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 887
Stars in a day: 17
Forks: 60
Issues and pull requests: 6
Watchers: 4
Language: Python
License: Apache-2.0
Created: August 27, 2026
Last push: September 16, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 18, 2026Top new repositories this month: #93
September 17, 2026Top new repositories this month: #99

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/amap-cvlab/ABot-Recon.svg?lang=en)](https://gitnova.dev/en/r/amap-cvlab/ABot-Recon)

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