Systems and methods for predicting future data using diverse sampling

Abstract

Systems and methods for providing a framework for predicting future frames using diverse sampling are provided. In one embodiment, a method for predicting future frames includes receiving a video having a first frame from a first time and a second frame from a second time. The first frame and the second frame are represented in image space. The method also includes updating a prediction model based on the video. The method further includes determining whether a stopping condition is satisfied. In response to determining that the stopping condition has been satisfied, the method includes generating a plurality of future frames for a third time after the second time. The plurality of future frames is generated based on a normalized distance metric that preserves distance of samples in the latent space to the image space. The method yet further includes selecting a candidate frame from the plurality of future frames.