3D-R2N2
Visit Tool3D-R2N2 is an open-source 3D & Animation tool that reconstructs 3D objects from single or multiple images. It uses a recurrent neural network to generate voxelized reconstructions.
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3D-R2N2 is an open-source 3D & Animation tool that reconstructs 3D objects from single or multiple images. It uses a recurrent neural network to generate voxelized reconstructions.
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About
3D-R2N2 is an open-source project providing source codes for 3D object reconstruction from single or multiple views using a recurrent neural network. This tool generates voxelized (3D pixel) reconstructions of objects. It offers a unified framework for both single and multi-view reconstruction, addressing problems traditionally handled by disparate approaches. A key component is the 3D-Convolutional LSTM, which allows the network to process images in random order and selectively update visible parts while preserving self-occluded areas. The project provides datasets and trained weights, making it suitable for researchers and developers in the field of 3D computer vision.
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Open Source
Free
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