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
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
PyTorch implementation of 'Pix2Pix' (Isola et al., 2017) and training it on 'Facades' and Google Maps
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