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Awesome GitHub RepositoriesHeterogeneous Batching
Processing groups of 3D objects with varying vertex or face counts using padded or packed tensors.
Distinct from Batch Processing: Specializes in handling variable-sized 3D geometric data in batches, rather than general bulk data operations.
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Awesome Heterogeneous Batching GitHub Repositories
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- facebookresearch/pytorch3d
facebookresearch/pytorch3d
9,902GitHub पर देखेंPyTorch3D is a 3D geometric deep learning library and mesh processing toolkit designed for learning from point clouds and complex 3D surface geometries. It provides a collection of reusable components and data structures for deep learning with 3D data, including a framework for training and evaluating neural radiance fields to enable photorealistic view synthesis. The project features a differentiable 3D renderer that converts meshes and point clouds into 2D images while allowing gradients to flow back into the geometry and textures. This enables 3D shape optimization, where mesh geometry, te
Processes groups of 3D objects with varying vertex or face counts within a single tensor operation.
Python
