Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN

Masaki Saito, Shunta Saito, Masanori Koyama +1

Training of Generative Adversarial Network (GAN) on a video dataset is a challenge because of the sheer size of the dataset and the complexity of each observation. In general, the…