Get 3D scene using a 3D object surface field with H2O-SDF
Get 3D scene using a 3D object surface field with H2O-SDF
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
arXiv paper abstract https://arxiv.org/abs/2402.08138
arXiv PDF paper https://arxiv.org/pdf/2402.08138.pdf
... Neural Radiance Fields (NeRF), Signed Distance Fields (SDF), and Occupancy Fields have recently emerged as solutions for 3D indoor scene reconstruction.
... introduce a novel two-phase learning approach, H2O-SDF, that discriminates between object and non-object regions within indoor environments.
... achieves a nuanced balance, carefully preserving the geometric integrity of room layouts while also capturing intricate surface details of specific objects.
... two-phase learning framework ... introduction of the Object Surface Field (OSF) ... to mitigate the persistent vanishing gradient problem that ... hindered the capture of high-frequency details
... proposed approach is validated through several experiments that include ablation studies.
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