ABot-Recon is a streaming 3D reconstruction model that caches only the preceding 11 frames of features rather than maintaining extensive long-range memory. It predicts point maps in the current camera frame plus relative poses to adjacent frames, recovering global geometry through sequential composition, while a lightweight temporal refiner reduces accumulated drift and composition-aware losses supervise pose accuracy. The method shows significant improvements on long-sequence benchmarks like Oxford Spires.
