Hanlin-Zhou/PyTorch-InstantNGP
PyTorch Implementation of Instant-NGP
This project helps researchers and developers working with 3D scene reconstruction by providing a PyTorch implementation of the Instant-NGP method. It takes a collection of 2D images of an object or scene from various viewpoints and generates a compact 3D representation that can be rendered from any new angle. This is ideal for computer graphics professionals, robotics engineers, or anyone needing to create high-quality 3D models from photos.
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Use this if you need to quickly reconstruct a 3D scene or object from multiple 2D images and want to leverage the PyTorch ecosystem for your research or development.
Not ideal if you are looking for a no-code solution for 3D modeling or if you don't have experience with programming or machine learning frameworks like PyTorch.
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Language
Python
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Last pushed
Jan 09, 2023
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