Some of the key PyTorch3D components include: ![]() Gratefully, the folks behind the PyTorch3D library have done the legwork of implementing several common 3D operators, loss functions, and differentiable rendering API, making PyTorch3D even more accessible and easier to get started (or play) with. Over the past year, PyTorch3D has become an increasingly popular open-source framework for 3D deep learning with Python. Image created by myself source: Behance.ģD understanding plays a critical role in numerous applications ranging from self-driving cars and autonomous robots to virtual reality and augmented reality.
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