amap-cvlab/ABot-Recon

ABot-Recon is a model and codebase for streaming 3D reconstruction from video input. At each time step it caches features from preceding frames, predicts a point map in the current camera coordinate system, and estimates adjacent relative pose, recovering a global trajectory and point cloud through sequential pose composition. This local design keeps memory and per-frame computation independent of sequence length, with optional loop-closure-based trajectory refinement.

Appearances
1
Categories
1
First seen
1 October 2026
Latest
1 October 2026
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Recorded measurements

Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.

GitHub repositories · stars

GitHub repositories · 2 dated measurements

Latest value shown: 1,026 stars ·

Higher values appear higher on the chart. The scale covers the recorded values.

GitHub repositories: stars recorded measurements2 dated points, 1 Sept 2026 to 25 Sept 2026. Values range from 328 to 1,026 stars. Higher values appear higher. Open the exact values and published evidence below for the data table. Dots are not connected; missing dates are not zero.1 Sept 2026: 328 stars25 Sept 2026: 1,026 stars
View 2 exact dated values and published evidence
Exact values and their published evidence
Measured onValue (stars)Published in
328
1,026

“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.

01/

Appearance history

1 appearance
This page records every appearance of the same entity in the reviewed RiseFinder exports. Rankings keep the original category, period and measurement direction.

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