Corpus ID: 220041556

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks

  title={Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks},
  author={Francis Williams and Matthew Trager and Joan Bruna and D. Zorin},
We present Neural Splines, a technique for 3D surface reconstruction that is based on random feature kernels arising from infinitely-wide shallow ReLU networks. Our method achieves state-of-the-art results, outperforming Screened Poisson Surface Reconstruction and modern neural network based techniques. Because our approach is based on a simple kernel formulation, it is fast to run and easy to analyze. We provide explicit analytical expressions for our kernel and argue that our formulation can… Expand
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