Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Neural Rendering Framework for Free-Viewpoint Relighting   We present a novel Relightable Neural Renderer (RNR) for simultaneous view
synthesis and relighting using multi-view image inputs. Existing neural
rendering (NR) does not explicitly model the physical rendering process and
hence has limited capabilities on relighting. RNR instead models image
formation in terms of environment lighting, object intrinsic attributes, and
light transport function (LTF), each corresponding to a learnable component. In
particular, the incorporation of a physically based rendering process not only
enables relighting but also improves the quality of view synthesis.
Comprehensive experiments on synthetic and real data show that RNR provides a
practical and effective solution for conducting free-viewpoint relighting.

18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
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The categories of this paper are: eess
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: stat
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The categories of this paper are: comp-gas
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The categories of this paper are: funct-an