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  1. PyTorch3D · A library for deep learning with 3D data

    Get Started Install PyTorch3D (following the instructions here) Try a few 3D operators e.g. compute the chamfer loss between two meshes:

  2. PyTorch3D · A library for deep learning with 3D data

    Welcome to the PyTorch3D Tutorials Here you can learn about the structure and applications of PyTorch3D from examples which are in the form of ipython notebooks.

  3. renderer · PyTorch3D

    For an in depth explanation of the renderer design, key features and benchmarks please refer to the PyTorch3D Technical Report on ArXiv: Accelerating 3D Deep Learning with PyTorch3D, …

  4. renderer_getting_started · PyTorch3D

    For mesh texturing we offer several options (in pytorch3d/renderer/mesh/texturing.py): Vertex Textures: D dimensional textures for each vertex (for example an RGB color) which can be …

  5. PyTorch3D · A library for deep learning with 3D data

    Meshes is a unique datastructure provided in PyTorch3D for working with batches of meshes of different sizes. TexturesVertex is an auxiliary datastructure for storing vertex rgb texture …

  6. Why PyTorch3D

    Our goal with PyTorch3D is to help accelerate research at the intersection of deep learning and 3D. 3D data is more complex than 2D images and while working on projects such as Mesh R …

  7. PyTorch3D · A library for deep learning with 3D data

    In this tutorial we learnt how to load a textured mesh from an obj file, initialize a PyTorch3D datastructure called Meshes, set up an Renderer consisting of a Rasterizer and a Shader, and …

  8. cameras · PyTorch3D

    Cameras in PyTorch3D transform an object/scene from world to view by first transforming the object/scene to view (via transforms R and T) and then projecting the 3D object/scene to a …

  9. PyTorch3D · A library for deep learning with 3D data

    A library for deep learning with 3D dataNeed help? This project is maintained by a dedicated group of people.

  10. PyTorch3D · A library for deep learning with 3D data

    In this tutorial, we provide an example of using DensePose data in PyTorch3D. This tutorial shows how to: load a mesh and textures from densepose .mat and .pkl files set up a renderer render …