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Yang et al.: CogVideoX causal video compression and expert transformer

Contribution grade

Text-to-video generative modeling · Human-designed research method or resource

Reference score70,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Integrated spatial-temporal causal video compression, text/video expert-adaptive normalization, full spatiotemporal attention and progressive-duration/resolution training into an openly released video diffusion system.

Scientific scope

Integrated spatial-temporal causal video compression, text/video expert-adaptive normalization, full spatiotemporal attention and progressive-duration/resolution training into an openly released video diffusion system. Diffusion, DiT, VAE compression and text conditioning have earlier sources; this record covers their video-specific expert/compression/training integration. Early released resolution and duration differ from later versions; video examples and comparative quality are source-reported, not a physical world model.

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, DiT, VAE compression and text conditioning have earlier sources; this record covers their video-specific expert/compression/training integration. Early released resolution and duration differ from later versions; video examples and comparative quality are source-reported, not a physical world model.

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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