Learning to Inpaint for Image Compression

Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani

Neural Information Processing Systems 

We study the design of deep architectures for lossy image compression. We present two architectural recipes in the context of multi-stage progressive encoders and empirically demonstrate their importance on compression performance.