LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
Streaming 3D reconstruction aims to recover 3D information, such as camera poses and point clouds, from a video stream, which necessitates geometric accuracy, temporal consistency, and computational efficiency. Motivated by the principles of Simultaneous Localization and Mapping (SLAM), we introduce LingBot-Map, a feed-forward 3D foundation model for reconstructing scenes from streaming data, built upon a geometric context transformer (GCT) architecture. A defining aspect of LingBot-Map lies in its carefully designed attention mechanism, which integrates an anchor context, a pose-reference window, and a trajectory memory to address coordinate grounding, dense geometric cues, and long-rang...
| Authors | Lin-Zhuo Chen, Jian Gao, Shangzhan Zhang et al. |
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| Primary category | cs.CV |
| Published | 15 April 2026 |
| Last updated at source | 8 September 2026 |
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