A Deep Learning Approach to Data Compression

We introduce Bit-Swap, a scalable and effective lossless data compression technique based on deep learning. It extends previous work on practical compression with latent variable models, based on bits-back coding and asymmetric numeral systems. In our experiments Bit-Swap is able to beat benchmark compressors on a highly diverse collection of images. We're releasing code for the method and optimized models such that people can explore and advance this line of modern compression ideas. We also release a demo and a pre-trained model for Bit-Swap image compression and decompression on your own image.