Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: D3D-HOI: Dynamic 3D Human-Object Interactions from Videos   We introduce D3D-HOI: a dataset of monocular videos with ground truth
annotations of 3D object pose, shape and part motion during human-object
interactions. Our dataset consists of several common articulated objects
captured from diverse real-world scenes and camera viewpoints. Each manipulated
object (e.g., microwave oven) is represented with a matching 3D parametric
model. This data allows us to evaluate the reconstruction quality of
articulated objects and establish a benchmark for this challenging task. In
particular, we leverage the estimated 3D human pose for more accurate inference
of the object spatial layout and dynamics. We evaluate this approach on our
dataset, demonstrating that human-object relations can significantly reduce the
ambiguity of articulated object reconstructions from challenging real-world
videos. Code and dataset are available at
https://github.com/facebookresearch/d3d-hoi.

5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
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The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
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The categories of this paper are: q-fin
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The categories of this paper are: adap-org
9
The categories of this paper are: nlin
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The categories of this paper are: math-ph
16
The categories of this paper are: stat
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The categories of this paper are: astro-ph