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PyTorch3D
FAIR's library of reusable components for deep learning with 3D data.
3d heterogeneous-batching batching differentiable-rendering
Epipolar Transformers
Differentiable "epipolar transformer", which enables the 2D detector to leverage 3D-aware features to improve 2D pose estimation.
pose-estimation 3d epipoplar transformers
Unsupervised Learning of Probably Symmetric Deformable 3D Objects
A method to learn 3D deformable object categories from raw single-view images, without external supervision.
3d 3d-objects 3d-reconstruction unsupervised-learning
3D Photography using Context-aware Layered Depth Inpainting
A multi-layer representation for novel view synthesis that contains hallucinated color and depth structures in regions occluded in the original view.
3d image-generation inpainting design
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