echofist / cae

Lossy Image Compression with Compressive Autoencoders

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Lossy Image Compression with Compressive Autoencoders

See wiki for more details and further results.

Results

cae_32x32x32_zero_pad_bin model, after roughly 5.8 millions of optimization steps; left: original, right: reconstructed.

Resources

A dataset can be constructed by downloading frames using the scripts provided here. For the above results, I have randomly selected and downloaded 121,827 frames.

References

[1] Lossy Image Compression with Compressive Autoencoders, Theis et al.

[2] Variable Rate Image Compression with Recurrent Neural Networks, Toderici et al.

About

Lossy Image Compression with Compressive Autoencoders


Languages

Language:Python 99.6%Language:Shell 0.4%