Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DPC: Unsupervised Deep Point Correspondence via Cross and Self
  Construction   We present a new method for real-time non-rigid dense correspondence between
point clouds based on structured shape construction. Our method, termed Deep
Point Correspondence (DPC), requires a fraction of the training data compared
to previous techniques and presents better generalization capabilities. Until
now, two main approaches have been suggested for the dense correspondence
problem. The first is a spectral-based approach that obtains great results on
synthetic datasets but requires mesh connectivity of the shapes and long
inference processing time while being unstable in real-world scenarios. The
second is a spatial approach that uses an encoder-decoder framework to regress
an ordered point cloud for the matching alignment from an irregular input.
Unfortunately, the decoder brings considerable disadvantages, as it requires a
large amount of training data and struggles to generalize well in cross-dataset
evaluations. DPC's novelty lies in its lack of a decoder component. Instead, we
use latent similarity and the input coordinates themselves to construct the
point cloud and determine correspondence, replacing the coordinate regression
done by the decoder. Extensive experiments show that our construction scheme
leads to a performance boost in comparison to recent state-of-the-art
correspondence methods. Our code is publicly available at
https://github.com/dvirginz/DPC.

8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph