Volume Rendering of Neural Implicit Surfaces

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This repository contains an implementation for the NeurIPS 2021 paper:
Volume Rendering of Neural Implicit Surfaces
Lior Yariv¹, Jiatao Gu², Yoni Kasten¹, Yaron Lipman^1,2
¹Weizmann Institute of Science, ²Facebook AI Research

The paper introduce VolSDF: a volume rendering framework for implicit neural surfaces, allowing to learn high fidelity geometry from a sparse set of input images.

Setup

Installation Requirmenets

The code is compatible with python 3.8 and pytorch 1.7. In addition, the following packages are required:
numpy, pyhocon, plotly, scikit-image, trimesh, imageio, opencv, torchvision.

You can create an anaconda environment called volsdf with the required dependencies by running:

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