Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lessons Learned and Improvements when Building Screen-Space Samplers
  with Blue-Noise Error Distribution   Recent work has shown that the error of Monte-Carlo rendering is visually
more acceptable when distributed as blue-noise in screen-space. Despite recent
efforts, building a screen-space sampler is still an open problem. In this
talk, we present the lessons we learned while improving our previous
screen-space sampler. Specifically: we advocate for a new criterion to assess
the quality of such samplers; we introduce a new screen-space sampler based on
rank-1 lattices; we provide a parallel optimization method that is compatible
with a GPU implementation and that achieves better quality; we detail the
pitfalls of using such samplers in renderers and how to cope with many
dimensions; and we provide empirical proofs of the versatility of the
optimization process.

8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int