Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Real-Time Path-Guiding Based on Parametric Mixture Models   Path-Guiding algorithms for sampling scattering directions can drastically
decrease the variance of Monte Carlo estimators of Light Transport Equation,
but their usage was limited to offline rendering because of memory and
computational limitations. We introduce a new robust screen-space technique
that is based on online learning of parametric mixture models for guiding the
real-time path-tracing algorithm. It requires storing of 8 parameters for every
pixel, achieves a reduction of FLIP metric up to 4 times with 1 spp rendering.
Also, it consumes less than 1.5ms on RTX 2070 for 1080p and reduces
path-tracing timings by generating more coherent rays by about 5% on average.
Moreover, it leads to significant bias reduction and a lower level of
flickering of SVGF output.

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The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom