Using cGANs to remove objects from a photo
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Updated
Oct 10, 2018 - Python
Using cGANs to remove objects from a photo
Implementation of Conditional Generative Adversarial Networks in PyTorch
Using a GAN to synthetically generate medical images for DL purposes
Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Keras
PANDA (Pytorch) pipeline, is a computational toolbox (MATLAB + pytorch) for generating PET navigators using Generative Adversarial networks.
TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.
Enhancement and Segmentation GAN
PyTorch implementation of 'Pix2Pix' (Isola et al., 2017) and training it on 'Facades' and Google Maps
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
The mel spectrogram generator using conditional WGAN-GP. For the mel spectrogram inverter, look up HiFi-GAN
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