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Physically Embodied Deep Image Optimisation (2201.08142v1)
Published 20 Jan 2022 in cs.RO and cs.CV
Abstract: Physical sketches are created by learning programs to control a drawing robot. A differentiable rasteriser is used to optimise sets of drawing strokes to match an input image, using deep networks to provide an encoding for which we can compute a loss. The optimised drawing primitives can then be translated into G-code commands which command a robot to draw the image using drawing instruments such as pens and pencils on a physical support medium.