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@thatguybg: Sora's video quality seems impossible so I dug into how it works under the hood

https://x.com/thatguybg/status/1759935959792312461

february 2024 ‧ twitter twitter-post imported ‧ open in karakeep

by brett goldstein ‧ X (formerly Twitter) ‧ published 2024.02.20 ‧ saved copy from 2026.08.28

From X bookmark — @thatguybg (brett goldstein), Feb 20 2024 https://x.com/thatguybg/status/1759935959792312461
Brett Goldstein explains that Sora's impressive video quality is achieved using a combination of diffusion models and transformer architectures. Sora breaks videos into spacetime patches, which represent small fragments of space and time, and uses internal knowledge graphs to ensure coherent generation based on objects, actions, locations, and styles. Diffusion models refine these noisy patches into detailed frames, while transformers maintain temporal consistency across the video sequence. Although advanced, the technology still struggles with accurately replicating certain physical interactions.

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Sora’s video quality seems impossible so I dug into how it works under the hood it uses both diffusion (starting with noise, refining towards a desired video) and transformer architectures (handling sequential video frames) read on 🧵
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