Neuralangelo is a framework that combines the power of NGP (neural Graphics Primitives) and neural SDFs (nearly explicit data representations) to achieve high-fidelity surface reconstruction.
The goal of 3D surface reconstruction is to recover detailed geometric structures of a scene by analyzing multiple images captured from various viewpoints.
Neural surface reconstruction methods have emerged as a promising solution by leveraging coordinate-based multi-layer perceptrons (MLPs) to represent scenes as implicit functions.
Source: https://research.nvidia.com/labs/dir/neuralangelo/paperNeuralangelangelo introduces two key techniques for improving hash-encoded surface reconstruction, including an implementation of convolutional neural netting and deep learning.
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