AI RESEARCH
HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction
arXiv CS.CV
•
ArXi:2605.23889v1 Announce Type: new Online 3D reconstruction requires estimating camera pose and scene geometry under strict causal and bounded-memory constraints. Existing methods often suffer from drift, jitter, or collapse on long sequences. We trace these failures to a fundamental mismatch. Streaming geometry is inherently temporally heterogeneous, with evidence ranging from short-lived correspondences to persistent global scale. However, current architectures impose uniform and pathological influence patterns.