Full Resolution Image Compression with Recurrent Neural Networks
computer vision and pattern recognition, 2017.
This paper presents a set of full-resolution lossy image compression methods based on neural networks. Each of the architectures we describe can provide variable compression rates during deployment without requiring retraining of the network: each network need only be trained once. All of our architectures consist of a recurrent neural ne...More
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