AI RESEARCH
Geometric Context Transformer for Streaming 3D Reconstruction
arXiv CS.CV
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ArXi:2604.14141v1 Announce Type: new 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 model for reconstructing scenes from streaming data, built upon a geometric context transformer (GCT) architecture.