This release brings Implicitron and MeshRasterizerOpenGL. There are builds for PyTorch 1.12.0, but no longer 1.7.x.

Large New Features

• Implicitron, a framework for new-view synthesis via modeling neural-network based representations. See its README for an introduction.
• MeshRasterizerOpenGL, a faster alternative to MeshRasterizer described in Cole et al.. The speedup, which grows with mesh size, is about 20x on a 2M-faces-large mesh. This rasterizer is designed to work with SplatterPhongShader, a new per pixel lighting model. To use it, you must have pycuda with the gl extension enabled, as well as pyopengl.

New features

• You can now choose to ignore the XY flip in cameras’ transform_points_screen commit
• Fragments is now a dataclass with docstring and detach() commit
• SoftDepthShader and HardDepthShader for rendering depth maps commit and commit
• AmbientLights can now be used to render an arbitrary number of channels (not just RGB) commit

Bug fixes

• Fix for loading PLY files with heterogenous faces (e.g. mixture of triangles and quadrilaterals commit
• Pointclouds.num_points_per_cloud now always returns a tensor commit
• Chamfer fix for empty pointclouds commit

For developers

• We are now using black 22.3 or later
• Tests should now be run from the pytorch3d root directory not the tests directory.

Minor

• In blending, pull common functionality into get_background_color commit
• raising translated errors with from None so a simpler traceback is printed https://github.com/facebookresearch/pytorch3d/commit/8e0c82b89a96a1f1bed1ae5b84bd37524d0fe154
• PnP test fix commit
• fix test which had cuda indexes of a cpu tensor commit