Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neural Inverse Knitting: From Images to Manufacturing Instructions   Motivated by the recent potential of mass customization brought by
whole-garment knitting machines, we introduce the new problem of automatic
machine instruction generation using a single image of the desired physical
product, which we apply to machine knitting. We propose to tackle this problem
by directly learning to synthesize regular machine instructions from real
images. We create a cured dataset of real samples with their instruction
counterpart and propose to use synthetic images to augment it in a novel way.
We theoretically motivate our data mixing framework and show empirical results
suggesting that making real images look more synthetic is beneficial in our
problem setup.

8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
19
The categories of this paper are: eess
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int