AI Weekly Malaysia

Back to items Summaries

Video generation models as world simulators

ID
723
Status
new
Published
15 Feb 2024, 4:00 PM
Fetched
27 Jun 2026, 7:47 PM
Provider
OpenAI News
Category
ai-labs
Original URL
https://openai.com/index/video-generation-models-as-world-simulators
Source URL
https://openai.com/news/rss.xml

Excerpt

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 purpose simulators of the physical world.

Summary

No summary yet. It will appear after the daemon summarizes this item.

Top