EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting
–Neural Information Processing Systems
Scene reconstruction from casually captured videos has wide real-world applications. Despite recent progress, existing methods relying on traditional cameras tend to fail in high-speed scenarios due to insufficient observations and inaccurate pose estimation. Event cameras, inspired by biological vision, record pixel-wise intensity changes asynchronously with high temporal resolution and low latency, providing valuable scene and motion information in blind inter-frame intervals. In this paper, we introduce the event cameras to aid scene construction from a casually captured video for the first time, and propose Event-Aided Free-Trajectory 3DGS, called EF-3DGS, which seamlessly integrates the advantages of event cameras into 3DGS through three key components.
Neural Information Processing Systems
Jun-12-2026, 23:02:03 GMT
- Technology:
- Information Technology > Artificial Intelligence > Vision (0.76)