PyTorch3D

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data, currently at version 0.7.6. It provides efficient data structures for storing and manipulating triangle meshes, optimized operations on 3D data (like projective transformations, graph convolution, sampling, and loss functions), and a modular differentiable mesh renderer. The library is actively developed and designed to integrate smoothly with PyTorch for predicting and manipulating 3D data, with operators that can handle minibatches, are differentiable, and can utilize GPUs.