PyTorch implementation of 'Pix2Pix' (Isola et al., 2017) and training it on Facades and Google Maps
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Updated
Jan 25, 2024 - Python
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
Using a GAN to synthetically generate medical images for DL purposes
PANDA (Pytorch) pipeline, is a computational toolbox (MATLAB + pytorch) for generating PET navigators using Generative Adversarial networks.
Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Keras
TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.
Enhancement and Segmentation GAN
Using cGANs to remove objects from a photo
Implementation of Conditional Generative Adversarial Networks in PyTorch
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