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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