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ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
We propose ScribbleGen, a generative data augmentation method that leverages a ControlNet diffusion model conditioned on semantic scribbles to produce high-quality training data.
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