facebookresearch/pytorch3d

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Introduction PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. Key features include: Data structure for storing and manipulating triangle meshes Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions) A differentiable mesh renderer Implicitron, see its README, a framework for new-view synthesis via implicit representations. (blog post) PyTorch3D is designed to integrate smoothly with deep learning...