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Handling groups of 3D objects with varying vertex or face counts within a single GPU accelerated tensor operation.
Distinct from 3D: None of the candidates deal with tensor batching of variable-sized geometry.
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PyTorch3D 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 GPU-accelerated tensor operation.