Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization

8 Apr 2019Chao HuangHaojie LiuTong ChenQiu ShenZhan Ma

We propose a MultiScale AutoEncoder(MSAE) based extreme image compression framework to offer visually pleasing reconstruction at a very low bitrate. Our method leverages the "priors" at different resolution scale to improve the compression efficiency, and also employs the generative adversarial network(GAN) with multiscale discriminators to perform the end-to-end trainable rate-distortion optimization... (read more)

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