FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2807201937> ?p ?o ?g. }

• W2807201937 abstract "We propose a novel approach for deformation-aware neural networks that learn the weighting and synthesis of dense volumetric deformation fields. Our method specifically targets the space-time representation of physical surfaces from liquid simulations. Liquids exhibit highly complex, non-linear behavior under changing simulation conditions such as different initial conditions. Our algorithm captures these complex phenomena in two stages: a first neural network computes a weighting function for a set of pre-computed deformations, while a second network directly generates a deformation field for refining the surface. Key for successful training runs in this setting is a suitable loss function that encodes the effect of the deformations, and a robust calculation of the corresponding gradients. To demonstrate the effectiveness of our approach, we showcase our method with several complex examples of flowing liquids with topology changes. Our representation makes it possible to rapidly generate the desired implicit surfaces. We have implemented a mobile application to demonstrate that real-time interactions with complex liquid effects are possible with our approach." @default.
• W2807201937 created "2018-06-13" @default.
• W2807201937 creator A5015566955 @default.
• W2807201937 creator A5045295915 @default.
• W2807201937 creator A5047248117 @default.
• W2807201937 date "2017-04-25" @default.
• W2807201937 modified "2023-10-06" @default.
• W2807201937 title "Generating Liquid Simulations with Deformation-aware Neural Networks" @default.
• W2807201937 cites W1506806321 @default.
• W2807201937 cites W1909320841 @default.
• W2807201937 cites W1974176857 @default.
• W2807201937 cites W2021354639 @default.
• W2807201937 cites W2030642278 @default.
• W2807201937 cites W2051264744 @default.
• W2807201937 cites W2070827315 @default.
• W2807201937 cites W2080144738 @default.
• W2807201937 cites W2084858263 @default.
• W2807201937 cites W2089858332 @default.
• W2807201937 cites W2099471712 @default.
• W2807201937 cites W2102605133 @default.
• W2807201937 cites W2105596309 @default.
• W2807201937 cites W2110139691 @default.
• W2807201937 cites W2130151115 @default.
• W2807201937 cites W2130399002 @default.
• W2807201937 cites W2136655611 @default.
• W2807201937 cites W2145543872 @default.
• W2807201937 cites W2181623680 @default.
• W2807201937 cites W2271155703 @default.
• W2807201937 cites W2294853957 @default.
• W2807201937 cites W2301880263 @default.
• W2807201937 cites W2312995908 @default.
• W2807201937 cites W2400532028 @default.
• W2807201937 cites W2461158874 @default.
• W2807201937 cites W2473208550 @default.
• W2807201937 cites W2535579907 @default.
• W2807201937 cites W2548527721 @default.
• W2807201937 cites W2553347458 @default.
• W2807201937 cites W2604142613 @default.
• W2807201937 cites W2613576910 @default.
• W2807201937 cites W2751586045 @default.
• W2807201937 cites W2765872171 @default.
• W2807201937 cites W2770257943 @default.
• W2807201937 cites W2770604561 @default.
• W2807201937 cites W2951309005 @default.
• W2807201937 cites W2951384764 @default.
• W2807201937 cites W2952115723 @default.
• W2807201937 cites W2952915411 @default.
• W2807201937 cites W2953318193 @default.
• W2807201937 cites W2963019788 @default.
• W2807201937 cites W2963073614 @default.
• W2807201937 cites W2963684088 @default.
• W2807201937 cites W2964269434 @default.
• W2807201937 cites W588441650 @default.
• W2807201937 cites W603908379 @default.
• W2807201937 hasPublicationYear "2017" @default.
• W2807201937 type Work @default.
• W2807201937 sameAs 2807201937 @default.
• W2807201937 citedByCount "6" @default.
• W2807201937 countsByYear W28072019372017 @default.
• W2807201937 countsByYear W28072019372018 @default.
• W2807201937 countsByYear W28072019372021 @default.
• W2807201937 crossrefType "posted-content" @default.
• W2807201937 hasAuthorship W2807201937A5015566955 @default.
• W2807201937 hasAuthorship W2807201937A5045295915 @default.
• W2807201937 hasAuthorship W2807201937A5047248117 @default.
• W2807201937 hasConcept C11413529 @default.
• W2807201937 hasConcept C114614502 @default.
• W2807201937 hasConcept C121332964 @default.
• W2807201937 hasConcept C14036430 @default.
• W2807201937 hasConcept C154945302 @default.
• W2807201937 hasConcept C159985019 @default.
• W2807201937 hasConcept C177264268 @default.
• W2807201937 hasConcept C17744445 @default.
• W2807201937 hasConcept C183115368 @default.
• W2807201937 hasConcept C184720557 @default.
• W2807201937 hasConcept C186060115 @default.
• W2807201937 hasConcept C192562407 @default.
• W2807201937 hasConcept C199360897 @default.
• W2807201937 hasConcept C199539241 @default.
• W2807201937 hasConcept C202444582 @default.
• W2807201937 hasConcept C204366326 @default.
• W2807201937 hasConcept C24890656 @default.
• W2807201937 hasConcept C2524010 @default.
• W2807201937 hasConcept C2776359362 @default.
• W2807201937 hasConcept C2776799497 @default.
• W2807201937 hasConcept C33923547 @default.
• W2807201937 hasConcept C41008148 @default.
• W2807201937 hasConcept C50644808 @default.
• W2807201937 hasConcept C78458016 @default.
• W2807201937 hasConcept C86803240 @default.
• W2807201937 hasConcept C94625758 @default.
• W2807201937 hasConcept C9652623 @default.
• W2807201937 hasConceptScore W2807201937C11413529 @default.
• W2807201937 hasConceptScore W2807201937C114614502 @default.
• W2807201937 hasConceptScore W2807201937C121332964 @default.
• W2807201937 hasConceptScore W2807201937C14036430 @default.
• W2807201937 hasConceptScore W2807201937C154945302 @default.
• W2807201937 hasConceptScore W2807201937C159985019 @default.
• W2807201937 hasConceptScore W2807201937C177264268 @default.
• W2807201937 hasConceptScore W2807201937C17744445 @default.

• next