… inspiration from Generative Adversarial Networks (GANs) [14… We demonstrate that network
compression performs well with … , we introduce adversarial learning into compression for the …

… compression methods, JPEG has been one of the most commonly used lossy compression
… that generates JPEG compressed images using generative adversarial networks. The novel …

… Traditional compression methods generally benefit from spectral and spatial … generative
adversarial network (GAN) based prediction method called MultiTempGAN for compression of …

… results using generative models from published variational autoencoder and generative
adversarial networks… that uses generative models for compressed sensing. Our algorithm simply …

… structure in classic compression methods, we propose a new symmetrical lattice generating
adversarial network (SLGAN) for the remote sensing images (RSIs) compression in this …

… , we use a conditional generative adversarial network (cGAN) … compression distortion of
great concern to the streaming video industry [2]. Although banding is produced by compression …

… benefits from generative residual networks (ResNet) to … 2dB SNR, and the conventional
compressed-sensing MRI by 4dB SNR … from historical images using generative neural networks. …

… 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 …

… this issue proposing an ensemble of Generative Adversarial Networks [16] driven by a quality
… [43] we use a deep residual architecture[17] and use Generative Adversarial Networks. We …

… perceptual quality of compressed video. … generative adversarial network (GAN) based on
multi-level wavelet packet transform (WPT) to enhance the perceptual quality of compressed …