Unifying Street Scene Point Cloud Semantic Segmentation with Deformable Mesh-based Neural Representation
This paper explores the use of NeRF-based neural representation for street scene point cloud semantic segmentation and shows that the proposed approach achieves improved semantic segmentation performance while maintaining competitive rendering quality, and supports both novel view synthesis and semantic rendering.