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In the evolving field of machine learning, video generation has witnessed significant advancements with autoregressive-based transformer models and diffusion models, known for synthesizing dynamic and realistic scenes.
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Diffusion models for video prediction and infilling
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Yaohui Wang, Piotr Bilinski, Francois Bremond, and Antitza Dantcheva · 2020
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Ccvs: context-aware controllable video synthesis
Guillaume Le Moing, Jean Ponce, and Cordelia Schmid · 2021
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Zero-shot text-to-image generation
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Vision transformers for dense prediction
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Phenaki: Variable length video generation from open domain textual description
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