Deep convolutional and recurrent writer

Abstract

This paper proposes a new architecture Deep Convolutional and Recurrent writer (DCRW) for image generation by adapting the deep Recurrent attentive writer (DRAW) architecture which is a sequential variational auto-encoder with a sequential attention mechanism for image generation. The main difference between DRAW and DCRW is that in DCRW we have replaced… (More)
DOI: 10.1109/IJCNN.2017.7966206

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Cite this paper

@article{Gulshad2017DeepCA, title={Deep convolutional and recurrent writer}, author={Sadaf Gulshad and Jong-Hwan Kim}, journal={2017 International Joint Conference on Neural Networks (IJCNN)}, year={2017}, pages={2836-2842} }