Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: IllumiNet: Transferring Illumination from Planar Surfaces to Virtual
  Objects in Augmented Reality   This paper presents an illumination estimation method for virtual objects in
real environment by learning. While previous works tackled this problem by
reconstructing high dynamic range (HDR) environment maps or the corresponding
spherical harmonics, we do not seek to recover the lighting environment of the
entire scene. Given a single RGB image, our method directly infers the relit
virtual object by transferring the illumination features extracted from planar
surfaces in the scene to the desired geometries. Compared to previous works,
our approach is more robust as it works in both indoor and outdoor environments
with spatially-varying illumination. Experiments and evaluation results show
that our approach outperforms the state-of-the-art quantitatively and
qualitatively, achieving realistic augmented experience.

8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph