Wan Team: open video-generation model and temporal autoencoder system

What changed

Combined a spatiotemporal variational autoencoder, diffusion-Transformer training, data curation and evaluation in an open video-generation suite.

Scientific scope

Combined a spatiotemporal variational autoencoder, diffusion-Transformer training, data curation and evaluation in an open video-generation suite. Diffusion Transformers and variational autoencoding are inherited. One original Wan suite report, not one result per model size or task; video quality does not establish physically correct world simulation.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Diffusion Transformers and variational autoencoding are inherited. One original Wan suite report, not one result per model size or task; video quality does not establish physically correct world simulation.

Contributors

• Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

• Wan: Open and Advanced Large-Scale Video Generative Models
• Wan Team: open video-generation model and temporal autoencoder system — official team research record

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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