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title
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GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
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site name
author
updated
2026-02-27 04:11:49
raw text
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction CVPR 2024 Xiao Chen 1,2 , Quanyi Li 1 , Tai Wang 1 , Tianfan Xue 2,† Jiangmiao Pang 1,† 1 Shanghai AI Laboratory, 2 The Chinese University of Hong Kong, † Corresponding Authors Paper arXiv Code Data Video (YouTube) Video (Bilibili) 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 p...
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