Get 3D object shape using point modeling and uncertainty estimation with Point-NeuS
Get 3D object shape using point modeling and uncertainty estimation with Point-NeuS
Point-NeuS: Point-Guided Neural Implicit Surface Reconstruction by Volume Rendering
arXiv paper abstract https://arxiv.org/abs/2310.07997
arXiv PDF paper https://arxiv.org/pdf/2310.07997.pdf
… neural implicit surface by volume rendering … a promising way for multi-view reconstruction. However, limited accuracy and excessive time complexity remain bottlenecks
… propose a new method called Point-NeuS, utilizing point-guided mechanisms to achieve accurate and efficient reconstruction.
Point modeling is organically embedded into the volume rendering to enhance and regularize the representation of implicit surface.
… to achieve precise point guidance and noise robustness, aleatoric uncertainty of the point cloud is modeled to capture the distribution of noise and estimate the reliability of points.
… To better compensate for geometric bias between volume rendering and point modeling, high-fidelity points are filtered into an Implicit Displacement Network to improve the representation of SDF.
… method yields high-quality surfaces, especially for fine-grained details and smooth regions …
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