CVPR2025

GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object Detector

Zechuan Li, Hongshan Yu, Yihao Ding, Jinhao Qiao, Basim Azam, Naveed Akhtar

摘要

Figure 1. The paradigm of exploiting Neural Radiance Fields (NeRF) for multi-view 3D object detection suffers from critical issues of lack of 3D positional information modeling and insufficiency of scene geometry perception, leading to under par performance by methods like NeRF-Det [42] (left-most). We show that resolving these issues exclusively improves 3D object detection (dotted red boxes).