Get 3D object shape with the signed distance field (SDF) encoded by a tensor with TensoSDF
Get 3D object shape with the signed distance field (SDF) encoded by a tensor with TensoSDF
TensoSDF: Roughness-aware Tensorial Representation for Robust Geometry and Material Reconstruction
arXiv paper abstract https://arxiv.org/abs/2402.02771
arXiv PDF paper https://arxiv.org/pdf/2402.02771.pdf
Reconstructing objects with realistic materials from multi-view images is problematic, since it is highly ill-posed.
... propose a novel framework for robust geometry and material reconstruction, where the geometry is expressed with the implicit signed distance field (SDF) encoded by a tensorial representation, namely TensoSDF.
... the ... method is the roughness-aware incorporation of the radiance and reflectance fields, which enables a robust reconstruction of objects with arbitrary reflective materials.
Furthermore, the tensorial representation enhances geometry details in the reconstructed surface and reduces the training time.
... estimate the materials using an explicit mesh for efficient intersection computation and an implicit SDF for accurate representation.
... method can achieve more robust geometry reconstruction, outperform the previous works in terms of relighting quality, and reduce 50% training times and 70% inference time.
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