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Physically Embodied Deep Image Optimisation

2022-01-20 12:34:01
Daniela Mihai, Jonathon Hare
arXiv_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.

Abstract (translated)

URL

https://arxiv.org/abs/2201.08142

PDF

https://arxiv.org/pdf/2201.08142.pdf

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