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Wang et al.: mixed image/video latent diffusion baseline

Contribution grade

Open text-to-video training resources · Human-designed research method or resource

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Added spatiotemporal blocks to a pretrained latent image model and used variable-frame joint image/video training, releasing a reproducible text-to-video baseline.

Scientific scope

Added spatiotemporal blocks to a pretrained latent image model and used variable-frame joint image/video training, releasing a reproducible text-to-video baseline. StableDiffusion, VQGAN, text encoders and temporal modeling are inherited. Acquired contribution is documented integration/resource and mixed-frame training, not invention of latent diffusion or all video generation.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. StableDiffusion, VQGAN, text encoders and temporal modeling are inherited. Acquired contribution is documented integration/resource and mixed-frame training, not invention of latent diffusion or all video generation.

Contributors

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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