Diffusion Probabilistic Modeling for Video Generation

Denoising diffusion probabilistic models are a promising new class of generative models that mark a milestone in high-quality image generation. This paper showcases their ability to sequentially generate video, surpassing prior methods in perceptual and probabilistic forecasting metrics. We propose...

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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 25; no. 10; p. 1469
Main Authors:	Yang, Ruihan, Srivastava, Prakhar, Mandt, Stephan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 20.10.2023 MDPI
Subjects:	Ablation Analysis autoregressive models Datasets deep generative models Diffusion diffusion models Forecasting Image processing Image quality Learning models (Stochastic processes) MATHEMATICS AND COMPUTING Methods Physics Probabilistic models Probability theory Variables Vector space Video compression video generation Video production United States
ISSN:	1099-4300, 1099-4300
Online Access:	Get full text
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