Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces   3D Shape representation has substantial effects on 3D shape reconstruction.
Primitive-based representations approximate a 3D shape mainly by a set of
simple implicit primitives, but the low geometrical complexity of the
primitives limits the shape resolution. Moreover, setting a sufficient number
of primitives for an arbitrary shape is challenging. To overcome these issues,
we propose a constrained implicit algebraic surface as the primitive with few
learnable coefficients and higher geometrical complexities and a deep neural
network to produce these primitives. Our experiments demonstrate the
superiorities of our method in terms of representation power compared to the
state-of-the-art methods in single RGB image 3D shape reconstruction.
Furthermore, we show that our method can semantically learn segments of 3D
shapes in an unsupervised manner. The code is publicly available from
https://myavartanoo.github.io/3dias/ .

26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
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The categories of this paper are: atom-ph
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The categories of this paper are: stat
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
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The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol