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Computer VisionFlow-Matching Transformer2608.12064

Draw This First

Dazhi Zhong, Rowan Bradbury, Grant Davis

cs.CV cs.LG

Abstract

We invert the typical formulation of sketch generation: instead of drawing strokes in order, we predict a 2D field that defines the order in which strokes are drawn. We use a pretrained latent flow-matching transformer to supply the image prior to predict an intermediate representation, while training the VAE's decoder to predict the order field, stroke mask, and stroke segmentation. We vectorize the predicted segmentation into polylines and sort them by the field, producing an ordered vector sketch. Our model can predict an ordered vector sketch from a text description or derender an image into ordered vectors; for either, it follows text instructions specifying the order of drawing.

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Classified with taxonomy v2 on Wed, 2 Sept 2026.

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