… The compression of Generative Adversarial Networks (GANs… Existing GAN compression
algorithms are limited to handling … compression, we introduce AutoML to GAN compression and …

… Abstract—We propose a GAN-based image compression method working at extremely low
… pixel (bpp) compression. We propose a novel GAN-based image compression method that …

… This study addresses this issue by proposing a view synthesis-based LF image compression
method using a generative adversarial network (GAN). The primary basis of compression …

… a novel compressive data gathering scheme using generative adversarial networks, named
… Data compression and load-balanced relay transmission are utilized during the projection …

… compression while image compression is to compress … use a binary generative adversarial
network (BGAN+) to convert images to binary codes for both image retrieval and compression …

… compression algorithm for parton densities using synthetic replicas generated from the training
of a generative adversarial network (… Carlo PDF set prior to compression. This results in a …

… compressed images yielded by yr = ψ(xr,qr), we use roughly the same strategy as that described
in Section 4. In CR-GAN, we replace the compression … along with Gx using the following …

… The model employed in this work is a Generative Adversarial Network (GAN), conditioned
on spectrogram representations of MP3-compressed audio files (see Figure 1 for an overview …

… Compressive sensing magnetic resonance imaging (CSMRI) accelerates the acquisition
of … In this work, a novel generative adversarial network (GAN) based framework for CS-MRI …

… to predict the compressive strength of UHPC using a comprehensive experimental database
… A novel approach based on tabular generative adversarial networks was used to generate …