CorridorKey

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When you film something against a green screen, the edges of your subject inevitably blend with the green background — creating pixels that mix your subject's true color with the screen. Traditional keyers struggle to untangle these colors, and even modern "AI Roto" solutions typically output a harsh binary mask, destroying the delicate semi-transparent pixels needed for a realistic composite.

CorridorKey solves this unmixing problem. You input a raw green screen frame, and the neural network completely separates the foreground object from the green screen. For every single pixel — even highly transparent ones like motion blur or out-of-focus edges — the model predicts the true, un-multiplied straight color of the foreground element alongside a clean, linear alpha channel.

No more fighting with garbage mattes or agonizing over "core" vs "edge" keys. Give CorridorKey a hint of what you want, and it separates the light for you.

Features

• Physically Accurate Unmixing — Clean extraction of straight color foreground and linear alpha channels, preserving hair, motion blur, and translucency.
• Resolution Independent — The engine dynamically scales inference to handle 4K plates while predicting using its native 2048×2048 high-fidelity backbone.
• VFX Standard Outputs — Natively reads and writes 16-bit and 32-bit Linear float EXR files, preserving true color math for integration in Nuke, Fusion, or Resolve.
• Auto-Cleanup — Includes a morphological cleanup system to automatically prune any tracking markers or tiny background features that slip through detection.

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