Video generation models as world simulators
📰 OpenAI News
OpenAI trains large-scale generative models on video data to create high-fidelity video generation models like Sora
Action Steps
- Train text-conditional diffusion models on diverse video and image datasets
- Leverage transformer architecture to operate on spacetime patches of video and image latent codes
- Scale up models to achieve high-fidelity video generation
- Explore applications of video generation models in fields like entertainment, education, and advertising
Who Needs to Know This
AI engineers and researchers on a team can benefit from this technology to generate realistic videos, while product managers can explore its applications in various industries
Key Insight
💡 Scaling video generation models can lead to building general world simulators
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📹 AI-generated videos just got a boost! OpenAI's Sora model can generate 1 minute of high-fidelity video
Key Takeaways
OpenAI trains large-scale generative models on video data to create high-fidelity video generation models like Sora
Full Article
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
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