Stabilizing Streaming Video Geometry via Dynamic Feature Normalization 事件

Stabilizing Streaming Video Geometry via Dynamic Feature Normalization arXiv:2605.25308v1 Announce Type: new Abstract: Consistent 3D geometry estimation from streaming RGB input is crucial for real-world applications such as autonomous driving, embodied AI, and large-scale reconstruction. While modern monocular geometry foundation models achieve strong single-image accuracy, they exhibit severe temporal inconsistency on continuous input, notably dominated by scale--shift drifting. Through targe