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vectorize_anything.md

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Seed differentiable vectorization with paths inferred from semantic segmentation

labels: experimentation, tooling, segmentation, svg

given a raster image, apply semantic segmentation and fit svg paths to the learned masks. Use these paths to initialize a differentiable image vectorization. could even parallelize across path-bounded regions and fit a vectorization to each independently, thereby producing semantically meaningful path objects and layers. furthering this idea, could apply this procedure recursively, initializing the sub-vecotirzation process with more granular segmentations, etc.

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