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Release v0.3.0 · facebookresearch/pytorch3d · GitHub
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Changelog
The key new feature in this release is support for Pulsar as an alternative backend for point cloud rendering. Pulsar is a highly tuned backend with better scaling performance than the default backend but with less flexibility: it does not have support for custom rasterizers and compositors. It can be used for scenes with millions of spheres and up to 4K resolution and supports opacity optimization.
Additional new features
- Plotly functions for visualization | commit
- Support for rendering batches of meshes/cameras/pointclouds
- Support for viewing plotly plots from PyTorch3D Cameras point-of-view
plot_scene
function
- Extend
sample_points_from_meshes
to support sampling textures | commit corresponding_cameras_alignment
function that estimates a similarity transformation between two sets of cameras | commit- Support for variable size point radius in the pointcloud rasterizer | commit
save_ply
now by default saves to binary instead of ascii. An option makes the previous functionality available | commit- Functions to convert to and from axis-angle representation of rotations | commit
- Visualization functions for the TexturesUV class | commit
New tutorials
- Rendering DensePose Data with PyTorch3D | commit1, commit2
- Updates to Pointcloud and Mesh rendering tutorials | commit
Small updates
- Fixes to support multigpu rendering | commit
- Support texture atlas loading for
.obj
files with meshes which only have material properties | commit - Add support for changing the background color in Pointcloud compositors | commit
- Add support for returning the fragments from the output of the
MeshRenderer
| commit - Support for axis angle representation of rotations | commit
Bug Fixes
- Fixed corner case in
look_at_view_transform
| commit - Fixed softmax_rgb_blend with mesh is outside zfar | commit
- Fixed corner case in
matrix_to_quaternion
function | commit
Misc
The introduction of Pulsar adds the NVIDIA CUB library as a build-time dependency.
Assets 2
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