NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization

arXiv:2404.04875v1 Announce Type: new
Abstract: Neural Radiance Fields (NeRF) have emerged as a paradigm-shifting methodology for the photorealistic rendering of objects and environments, enabling the synthesis of novel viewpoints with remarkable fidelity. This is accomplished through the strategic utilization of object-centric camera poses characterized by significant inter-frame overlap. This paper explores a compelling, alternative utility of NeRF: the derivation of point clouds from aggregated urban landscape imagery. The transmutation of street-view data into point clouds is fraught with complexities, attributable …

abstract arxiv cloud cs.cv enabling environments fidelity fields methodology nerf neural radiance fields novel object objects optimization paradigm photorealistic rendering scale street synthesis through type