5. References# Dataset# Victorian400 Dataset for Colorizing Victorian Illustrations Papers# Image-to-Image Translation with Conditional Adversarial Networks Victorian400: Colorizing Victorian Illustrations Pros and Cons of GAN Evaluation Measures U-Net: Convolutional Networks for Biomedical Image Segmentation Generative Adversarial Networks Conditional Generative Adversarial Nets Synthesizing Obama: Learning Lip Sync from Audio An_Analysis_of_Evaluation_Metrics_of_GANs Progressive_Growing_of_GANs_for_Improved_Quality_Stability_and_Variation Eye In-Painting with Exemplar Generative Adversarial Networks Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News Improved Techniques For Training GANs On the Evaluation of Conditional GANs Code# PyTorch-GAN GAN_colorization clearing-a-subplot-in-matplotlib row-and-column-headers-in-matplotlibs-subplots matplotlib-subplots-get-rid-of-tick-labels-altogether matplotlib-imshow-stretch-to-fit-width Blog# GAN cCAN(conditionial GAN) CGAN Best Resources for Getting Started With GANs
