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[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Datasets, code and models from our driver gaze estimation works over the last few years.
Text to image synthesis with GAN-CLS and MSGAN
Use conditional-dcgans to generate realistic images of digits
Implementation of some types of GANs (Deep convolutional GAN - Wasserstein GAN - conditional GAN) with PyTorch library
Image Colourization using Conditional Generative Adversarial Network