Single Image Video Prediction with Auto-Regressive GANs

Single Image Video Prediction with Auto-Regressive GANs

In this paper, we introduce an approach for future frames prediction based on a single input image. Our method is able to generate an entire video sequence based on the information contained in the input frame. We adopt an autoregressive approach in our generation process, i.e., the output from each...

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Bibliographic Details
Main Authors: Chia, Y.K (Author), Herremans, D. (Author), Huang, J. (Author), Krumhuber, E.G (Author), Küster, D. (Author), Roig, G. (Author), Yee, K. (Author), Yu, S. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Auto-regressive
Autoregressive GAN
autoregressive GANs
emotion generation
Emotion generation
Forecasting
Generation process
Input image
Pixels
Prediction-based
Single images
Single input
Statistical tests
video prediction
Video prediction
Video recording
Video sequences
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