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Learnable Point Cloud Sampling Considering Seed Point for Neural Surface Reconstruction

Reconstruction of surfaces from point clouds is essential in numerous practical applications. An approach in which neural fields are trained as surface representations from point clouds has garnered significant interest in recent years. However, these techniques present scalability issues to large s...

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Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkkit: Kohei Matsuzaki, Keisuke Nonaka
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: IEEE 2024-01-01
Ráidu:IEEE Access
Fáttát:
Liŋkkat:https://ieeexplore.ieee.org/document/10804151/
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