![]() ![]() We summarise the application of popular GAN architectures for spatio-temporal data and the common practices for evaluating the performance of spatio-temporal applications with GANs. In this paper, we have conducted a comprehensive review of the recent developments of GANs for spatio-temporal data. While several reviews for GANs in computer vision have been presented, no one has considered addressing the practical applications and challenges relevant to spatio-temporal data. Recently, GAN-based techniques are shown to be promising for spatio-temporal-based applications such as trajectory prediction, events generation and time-series data imputation. ![]() Download a PDF of the paper titled Generative Adversarial Networks for Spatio-temporal Data: A Survey, by Nan Gao and 7 other authors Download PDF Abstract:Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. ![]()
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