OpenAI Blog · Feb 15, 2024
Video generation models as world simulators
Reviewed by Errol Vogt, Site support technician & online learning analyst · original summary · editorial policy
Video generation models as world simulators. We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general… This update is relevant for small-office operators tracking changes in their tools.
Operator takeaway: For operators: review whether 'Video generation models as world simulators' affects your current setup before relying on it in production.
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