Blending Distributed NeRFs with Tri-stage Robust Pose Optimization

arXiv:2405.02880v1 Announce Type: new
Abstract: Due to the limited model capacity, leveraging distributed Neural Radiance Fields (NeRFs) for modeling extensive urban environments has become a necessity. However, current distributed NeRF registration approaches encounter aliasing artifacts, arising from discrepancies in rendering resolutions and suboptimal pose precision. These factors collectively deteriorate the fidelity of pose estimation within NeRF frameworks, resulting in occlusion artifacts during the NeRF blending stage. In this paper, we present a distributed NeRF system with tri-stage pose optimization. In …

arxiv cs.cv cs.ro distributed optimization robust stage type