Transformable Bottleneck Networks

13 Apr 2019Kyle OlszewskiSergey TulyakovOliver WoodfordHao LiLinjie Luo

We propose a novel approach to performing fine-grained 3D manipulation of image content via a convolutional neural network, which we call the Transformable Bottleneck Network (TBN). It applies given spatial transformations directly to a volumetric bottleneck within our encoder-bottleneck-decoder architecture... (read more)

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