English

Physically Embodied Deep Image Optimisation

Robotics 2022-01-21 v1 Computer Vision and Pattern Recognition

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.

Keywords

Cite

@article{arxiv.2201.08142,
  title  = {Physically Embodied Deep Image Optimisation},
  author = {Daniela Mihai and Jonathon Hare},
  journal= {arXiv preprint arXiv:2201.08142},
  year   = {2022}
}
R2 v1 2026-06-24T08:56:29.151Z