all AI news
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
Feb. 27, 2024, 5:47 a.m. | Xiao Chen, Quanyi Li, Tai Wang, Tianfan Xue, Jiangmiao Pang
cs.CV updates on arXiv.org arxiv.org
Abstract: While recent advances in neural radiance field enable realistic digitization for large-scale scenes, the image-capturing process is still time-consuming and labor-intensive. Previous works attempt to automate this process using the Next-Best-View (NBV) policy for active 3D reconstruction. However, the existing NBV policies heavily rely on hand-crafted criteria, limited action space, or per-scene optimized representations. These constraints limit their cross-dataset generalizability. To overcome them, we propose GenNBV, an end-to-end generalizable NBV policy. Our policy adopts a …
3d reconstruction abstract advances arxiv automate cs.ai cs.cv cs.ro digitization image labor neural radiance field next policy process scale type view
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Developer AI Senior Staff Engineer, Machine Learning
@ Google | Sunnyvale, CA, USA; New York City, USA
Engineer* Cloud & Data Operations (f/m/d)
@ SICK Sensor Intelligence | Waldkirch (bei Freiburg), DE, 79183