Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape
  Generation   D shape generation is a fundamental operation in computer graphics. While
significant progress has been made, especially with recent deep generative
models, it remains a challenge to synthesize high-quality shapes with rich
geometric details and complex structure, in a controllable manner. To tackle
this, we introduce DSG-Net, a deep neural network that learns a disentangled
structured and geometric mesh representation for 3D shapes, where two key
aspects of shapes, geometry, and structure, are encoded in a synergistic manner
to ensure plausibility of the generated shapes, while also being disentangled
as much as possible. This supports a range of novel shape generation
applications with disentangled control, such as interpolation of structure
(geometry) while keeping geometry (structure) unchanged. To achieve this, we
simultaneously learn structure and geometry through variational autoencoders
(VAEs) in a hierarchical manner for both, with bijective mappings at each
level. In this manner, we effectively encode geometry and structure in separate
latent spaces, while ensuring their compatibility: the structure is used to
guide the geometry and vice versa. At the leaf level, the part geometry is
represented using a conditional part VAE, to encode high-quality geometric
details, guided by the structure context as the condition. Our method not only
supports controllable generation applications but also produces high-quality
synthesized shapes, outperforming state-of-the-art methods. The code has been
released at https://github.com/IGLICT/DSG-Net.

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The categories of this paper are: q-bio
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The categories of this paper are: bayes-an
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: astro-ph
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The categories of this paper are: supr-con
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The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-th
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The categories of this paper are: gr-qc
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The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
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The categories of this paper are: nlin
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The categories of this paper are: hep-lat