PyTorch3D is a deep learning research library for 3D computer vision built on PyTorch. It provides efficient, reusable components including data structures for triangle meshes, differentiable mesh renderers, graph convolution operations, and tools for neural implicit representations. The library is designed to integrate smoothly with deep learning workflows, supporting GPU acceleration, batch processing of heterogeneous data, and automatic differentiation.