Geometric-Photometric Event-based 3D Gaussian Ray Tracing

📰 ArXiv cs.AI

GPERT framework addresses trade-off between accuracy and temporal resolution in event-based 3D Gaussian Splatting

advanced Published 2 Apr 2026
Action Steps
  1. Leverage fine-grained temporal information of sparse events in event cameras
  2. Propose GPERT framework to address trade-off between accuracy and temporal resolution in event-based 3DGS
  3. Implement 3D Gaussian Ray Tracing to improve motion and structure estimation
  4. Evaluate GPERT framework on various datasets to demonstrate its effectiveness
Who Needs to Know This

Computer vision engineers and researchers on a team benefit from this work as it improves motion and structure estimation, and developers of event-based 3D reconstruction systems can apply these findings to enhance their applications

Key Insight

💡 GPERT framework addresses trade-off between accuracy and temporal resolution in event-based 3DGS

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🔍 GPERT framework improves event-based 3D Gaussian Splatting with fine-grained temporal info
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