Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar
  Reconstruction   We present dynamic neural radiance fields for modeling the appearance and
dynamics of a human face. Digitally modeling and reconstructing a talking human
is a key building-block for a variety of applications. Especially, for
telepresence applications in AR or VR, a faithful reproduction of the
appearance including novel viewpoints or head-poses is required. In contrast to
state-of-the-art approaches that model the geometry and material properties
explicitly, or are purely image-based, we introduce an implicit representation
of the head based on scene representation networks. To handle the dynamics of
the face, we combine our scene representation network with a low-dimensional
morphable model which provides explicit control over pose and expressions. We
use volumetric rendering to generate images from this hybrid representation and
demonstrate that such a dynamic neural scene representation can be learned from
monocular input data only, without the need of a specialized capture setup. In
our experiments, we show that this learned volumetric representation allows for
photo-realistic image generation that surpasses the quality of state-of-the-art
video-based reenactment methods.

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The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
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The categories of this paper are: eess
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The categories of this paper are: comp-gas