Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NASA: Neural Articulated Shape Approximation   Efficient representation of articulated objects such as human bodies is an
important problem in computer vision and graphics. To efficiently simulate
deformation, existing approaches represent 3D objects using polygonal meshes
and deform them using skinning techniques. This paper introduces neural
articulated shape approximation (NASA), an alternative framework that enables
efficient representation of articulated deformable objects using neural
indicator functions that are conditioned on pose. Occupancy testing using NASA
is straightforward, circumventing the complexity of meshes and the issue of
water-tightness. We demonstrate the effectiveness of NASA for 3D tracking
applications, and discuss other potential extensions.

9
The categories of this paper are: nlin
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph