AlayaVista is a streaming video world model that separates panoramic world evolution from perspective observation synthesis. It uses a pretrained panorama expansion model to create a 360-degree scene prior and evolves it as a camera-conditioned panoramic latent state, then maps this to the requested perspective video latents.
The chart will appear after repeat observations. The current metric comes from the source.
14 source votesReal observations only. History before source connection is not reconstructed.
AlayaVista could be useful for applications requiring real-time video generation with dynamic camera control, such as virtual reality or interactive media.
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