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Janus: separate visual encoders in a unified multimodal transformer

Contribution grade

Unified visual understanding and generation · Human-designed research method or resource

Reference score110,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Decoupled semantic-understanding and image-generation visual encoders while retaining a shared autoregressive transformer, reducing the empirically observed representation tradeoff.

Scientific scope

Decoupled semantic-understanding and image-generation visual encoders while retaining a shared autoregressive transformer, reducing the empirically observed representation tradeoff. Inherits multimodal autoregression, discrete image tokenization and pretrained visual/LLM components. No proof that every shared encoder must fail; original Janus is separate from later flow alignment, while ordinary Pro model scaling is not another invention.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits multimodal autoregression, discrete image tokenization and pretrained visual/LLM components. No proof that every shared encoder must fail; original Janus is separate from later flow alignment, while ordinary Pro model scaling is not another invention.

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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