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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