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Zhang, Rao and Agrawala: ControlNet spatial conditioning

Contribution grade

Controllable image generation · Human-designed research method or resource

Reference score150,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Added trainable spatial-conditioning branches to frozen text-to-image diffusion models using zero-initialized connections.

Scientific scope

Added trainable spatial-conditioning branches to frozen text-to-image diffusion models using zero-initialized connections. The contribution is the original ControlNet architecture and evaluated controls. It does not establish universal control accuracy, preserve all model behavior, or include later ControlNet variants.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The contribution is the original ControlNet architecture and evaluated controls. It does not establish universal control accuracy, preserve all model behavior, or include later ControlNet variants.

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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