Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Physically Embodied Deep Image Optimisation   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.

4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat