EAG3R: Event-Augmented 3DGeometry Estimation for Dynamic and Extreme-Lighting Scenes
–Neural Information Processing Systems
Robust 3D geometry estimation from videos is critical for applications such as autonomous navigation, SLAM, and 3D scene reconstruction. Recent methods like DUSt3R demonstrate that regressing dense pointmaps from image pairs enables accurate and efficient pose-free reconstruction.
Neural Information Processing Systems
Jun-18-2026, 02:57:10 GMT
- Country:
- Asia (0.28)
- Genre:
- Research Report
- New Finding (1.00)
- Experimental Study (1.00)
- Research Report
- Industry:
- Media (0.46)
- Information Technology (0.46)
- Technology:
- Information Technology
- Sensing and Signal Processing > Image Processing (1.00)
- Artificial Intelligence
- Vision (1.00)
- Robots (1.00)
- Representation & Reasoning (1.00)
- Machine Learning > Neural Networks (0.68)
- Natural Language > Large Language Model (0.47)
- Information Technology