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wasserstein-gan x

4 search results found

Inpainting Gmcnn Keras ⭐ 87

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

Dcgan For Bird Generation ⭐ 63

DCGAN and WGAN implementation on Keras for Bird Generation

Convolutionaneuralnetworkstoenhancecodedspeech ⭐ 22

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions

Wasserstein Gan ⭐ 6

PyTorch implementation of Wasserstein GAN paper

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