FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1909969224> ?p ?o ?g. }

• W1909969224 endingPage "608" @default.
• W1909969224 startingPage "597" @default.
• W1909969224 abstract "Abstract Adaptive filtering techniques have proven successful in handling non‐uniform noise in Monte‐Carlo rendering approaches. A recent trend is to choose an optimal filter per pixel from a selection of non spatially‐varying filters. Nonetheless, the best filter choice is difficult to predict in the absence of a reference rendering. Our approach relies on the observation that the reconstruction error is locally smooth for a given filter. Hence, we propose to construct a dense error prediction from a small set of sparse but robust estimates. The filter selection is then formulated as a non‐local optimization problem, which we solve via graph cuts, to avoid visual artifacts due to inconsistent filter choices. Our approach does not impose any restrictions on the used filters, outperforms previous state‐of‐the‐art techniques and provides an extensible framework for future reconstruction techniques." @default.
• W1909969224 created "2016-06-24" @default.
• W1909969224 creator A5000099153 @default.
• W1909969224 creator A5011059989 @default.
• W1909969224 creator A5048229839 @default.
• W1909969224 creator A5091147312 @default.
• W1909969224 date "2015-05-01" @default.
• W1909969224 modified "2023-10-17" @default.
• W1909969224 title "General and Robust Error Estimation and Reconstruction for Monte Carlo Rendering" @default.
• W1909969224 cites W1971958581 @default.
• W1909969224 cites W1977778188 @default.
• W1909969224 cites W1984696318 @default.
• W1909969224 cites W2023678075 @default.
• W1909969224 cites W2030126801 @default.
• W1909969224 cites W2030716039 @default.
• W1909969224 cites W2031832209 @default.
• W1909969224 cites W2034080786 @default.
• W1909969224 cites W2037735934 @default.
• W1909969224 cites W2047913565 @default.
• W1909969224 cites W2054640142 @default.
• W1909969224 cites W2068359544 @default.
• W1909969224 cites W2077323204 @default.
• W1909969224 cites W2089667924 @default.
• W1909969224 cites W2113945798 @default.
• W1909969224 cites W2116671147 @default.
• W1909969224 cites W2125561951 @default.
• W1909969224 cites W2132282325 @default.
• W1909969224 cites W2135359136 @default.
• W1909969224 cites W2143516773 @default.
• W1909969224 cites W2150268647 @default.
• W1909969224 cites W2154625249 @default.
• W1909969224 cites W2160451035 @default.
• W1909969224 cites W2160956336 @default.
• W1909969224 cites W2184872067 @default.
• W1909969224 cites W2207744012 @default.
• W1909969224 cites W2295936755 @default.
• W1909969224 cites W2997095758 @default.
• W1909969224 cites W3015136933 @default.
• W1909969224 cites W3137870839 @default.
• W1909969224 cites W4206610958 @default.
• W1909969224 doi "https://doi.org/10.1111/cgf.12587" @default.
• W1909969224 hasPublicationYear "2015" @default.
• W1909969224 type Work @default.
• W1909969224 sameAs 1909969224 @default.
• W1909969224 citedByCount "10" @default.
• W1909969224 countsByYear W19099692242015 @default.
• W1909969224 countsByYear W19099692242016 @default.
• W1909969224 countsByYear W19099692242017 @default.
• W1909969224 countsByYear W19099692242018 @default.
• W1909969224 countsByYear W19099692242019 @default.
• W1909969224 countsByYear W19099692242020 @default.
• W1909969224 countsByYear W19099692242021 @default.
• W1909969224 crossrefType "journal-article" @default.
• W1909969224 hasAuthorship W1909969224A5000099153 @default.
• W1909969224 hasAuthorship W1909969224A5011059989 @default.
• W1909969224 hasAuthorship W1909969224A5048229839 @default.
• W1909969224 hasAuthorship W1909969224A5091147312 @default.
• W1909969224 hasConcept C102248274 @default.
• W1909969224 hasConcept C105795698 @default.
• W1909969224 hasConcept C106131492 @default.
• W1909969224 hasConcept C11413529 @default.
• W1909969224 hasConcept C115961682 @default.
• W1909969224 hasConcept C124504099 @default.
• W1909969224 hasConcept C126255220 @default.
• W1909969224 hasConcept C154945302 @default.
• W1909969224 hasConcept C160633673 @default.
• W1909969224 hasConcept C19499675 @default.
• W1909969224 hasConcept C205711294 @default.
• W1909969224 hasConcept C31972630 @default.
• W1909969224 hasConcept C33923547 @default.
• W1909969224 hasConcept C41008148 @default.
• W1909969224 hasConcept C5134670 @default.
• W1909969224 hasConceptScore W1909969224C102248274 @default.
• W1909969224 hasConceptScore W1909969224C105795698 @default.
• W1909969224 hasConceptScore W1909969224C106131492 @default.
• W1909969224 hasConceptScore W1909969224C11413529 @default.
• W1909969224 hasConceptScore W1909969224C115961682 @default.
• W1909969224 hasConceptScore W1909969224C124504099 @default.
• W1909969224 hasConceptScore W1909969224C126255220 @default.
• W1909969224 hasConceptScore W1909969224C154945302 @default.
• W1909969224 hasConceptScore W1909969224C160633673 @default.
• W1909969224 hasConceptScore W1909969224C19499675 @default.
• W1909969224 hasConceptScore W1909969224C205711294 @default.
• W1909969224 hasConceptScore W1909969224C31972630 @default.
• W1909969224 hasConceptScore W1909969224C33923547 @default.
• W1909969224 hasConceptScore W1909969224C41008148 @default.
• W1909969224 hasConceptScore W1909969224C5134670 @default.
• W1909969224 hasIssue "2" @default.
• W1909969224 hasLocation W19099692241 @default.
• W1909969224 hasOpenAccess W1909969224 @default.
• W1909969224 hasPrimaryLocation W19099692241 @default.
• W1909969224 hasRelatedWork W1886755165 @default.
• W1909969224 hasRelatedWork W1982025852 @default.
• W1909969224 hasRelatedWork W2010171670 @default.
• W1909969224 hasRelatedWork W2053596378 @default.
• W1909969224 hasRelatedWork W2085033728 @default.
• W1909969224 hasRelatedWork W2168523118 @default.
• W1909969224 hasRelatedWork W2171299904 @default.

• next