BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives

arXiv:2306.04166v4 Announce Type: replace
Abstract: Implicit neural representations have become pivotal in robotic perception, enabling robots to comprehend 3D environments from 2D images. Given a set of camera poses and associated images, the models can be trained to synthesize novel, unseen views. To successfully navigate and interact in dynamic settings, robots require the understanding of their spatial surroundings driven by unassisted reconstruction of 3D scenes and camera poses from real-time video footage. Existing approaches like COLMAP and bundle-adjusting neural radiance …

adjusting arxiv cs.cv graphics neural graphics type