Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327925678> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4327925678 abstract "Currently, there are a couple of major trends in live 2-D animation like Immersive User Experience, Next-Gen Software, Mobile 2D Animation, VR 2D Animation, AR/VR Live Action Animation, and Web 2D Animation that are getting a lot of attention. For the industries like advertisement, entertainment as well as education, this new technology has become very important as each of them needs to reach their target audience through it. With the help of live 2-D animation, these industries can now reach out to new audiences through something that has never been done before, creating original content that is something that has never been done before. This has now become possible due to the rise of social media. With the advent of social media, it is now possible for anyone in the world to communicate with people who have never been contacted by any advertising or marketing agency before. The solution we are proposing is a deep learning technique for creating animated characters that can make lips synchronized just the way humans do without any assistance and intervention. This can save many working hours that are needed to make an animated character feel real while dialog delivery. The main requirement here is the exact lip sync as that of the human performs while talking the lip movement should get exactly matched. This is possible with the help of LSTM model [5]." @default.
- W4327925678 created "2023-03-21" @default.
- W4327925678 creator A5006220172 @default.
- W4327925678 creator A5016413437 @default.
- W4327925678 creator A5030633703 @default.
- W4327925678 creator A5039181494 @default.
- W4327925678 creator A5049590588 @default.
- W4327925678 creator A5077861461 @default.
- W4327925678 date "2023-02-18" @default.
- W4327925678 modified "2023-09-23" @default.
- W4327925678 title "Deep Learning Technique to generate lip-sync for live 2-D Animation" @default.
- W4327925678 cites W1569907127 @default.
- W4327925678 cites W2737658251 @default.
- W4327925678 cites W2739192055 @default.
- W4327925678 doi "https://doi.org/10.1109/sceecs57921.2023.10063097" @default.
- W4327925678 hasPublicationYear "2023" @default.
- W4327925678 type Work @default.
- W4327925678 citedByCount "0" @default.
- W4327925678 crossrefType "proceedings-article" @default.
- W4327925678 hasAuthorship W4327925678A5006220172 @default.
- W4327925678 hasAuthorship W4327925678A5016413437 @default.
- W4327925678 hasAuthorship W4327925678A5030633703 @default.
- W4327925678 hasAuthorship W4327925678A5039181494 @default.
- W4327925678 hasAuthorship W4327925678A5049590588 @default.
- W4327925678 hasAuthorship W4327925678A5077861461 @default.
- W4327925678 hasConcept C108170787 @default.
- W4327925678 hasConcept C111472728 @default.
- W4327925678 hasConcept C121332964 @default.
- W4327925678 hasConcept C121684516 @default.
- W4327925678 hasConcept C126042441 @default.
- W4327925678 hasConcept C136764020 @default.
- W4327925678 hasConcept C138591656 @default.
- W4327925678 hasConcept C138885662 @default.
- W4327925678 hasConcept C142362112 @default.
- W4327925678 hasConcept C153349607 @default.
- W4327925678 hasConcept C173853756 @default.
- W4327925678 hasConcept C2780791683 @default.
- W4327925678 hasConcept C3913047 @default.
- W4327925678 hasConcept C41008148 @default.
- W4327925678 hasConcept C49774154 @default.
- W4327925678 hasConcept C502989409 @default.
- W4327925678 hasConcept C512170562 @default.
- W4327925678 hasConcept C518677369 @default.
- W4327925678 hasConcept C62520636 @default.
- W4327925678 hasConcept C69369342 @default.
- W4327925678 hasConcept C76155785 @default.
- W4327925678 hasConceptScore W4327925678C108170787 @default.
- W4327925678 hasConceptScore W4327925678C111472728 @default.
- W4327925678 hasConceptScore W4327925678C121332964 @default.
- W4327925678 hasConceptScore W4327925678C121684516 @default.
- W4327925678 hasConceptScore W4327925678C126042441 @default.
- W4327925678 hasConceptScore W4327925678C136764020 @default.
- W4327925678 hasConceptScore W4327925678C138591656 @default.
- W4327925678 hasConceptScore W4327925678C138885662 @default.
- W4327925678 hasConceptScore W4327925678C142362112 @default.
- W4327925678 hasConceptScore W4327925678C153349607 @default.
- W4327925678 hasConceptScore W4327925678C173853756 @default.
- W4327925678 hasConceptScore W4327925678C2780791683 @default.
- W4327925678 hasConceptScore W4327925678C3913047 @default.
- W4327925678 hasConceptScore W4327925678C41008148 @default.
- W4327925678 hasConceptScore W4327925678C49774154 @default.
- W4327925678 hasConceptScore W4327925678C502989409 @default.
- W4327925678 hasConceptScore W4327925678C512170562 @default.
- W4327925678 hasConceptScore W4327925678C518677369 @default.
- W4327925678 hasConceptScore W4327925678C62520636 @default.
- W4327925678 hasConceptScore W4327925678C69369342 @default.
- W4327925678 hasConceptScore W4327925678C76155785 @default.
- W4327925678 hasLocation W43279256781 @default.
- W4327925678 hasOpenAccess W4327925678 @default.
- W4327925678 hasPrimaryLocation W43279256781 @default.
- W4327925678 hasRelatedWork W1519036821 @default.
- W4327925678 hasRelatedWork W2103375294 @default.
- W4327925678 hasRelatedWork W2135563170 @default.
- W4327925678 hasRelatedWork W2355369089 @default.
- W4327925678 hasRelatedWork W2364691275 @default.
- W4327925678 hasRelatedWork W2380402047 @default.
- W4327925678 hasRelatedWork W2603563676 @default.
- W4327925678 hasRelatedWork W3004910051 @default.
- W4327925678 hasRelatedWork W4327925678 @default.
- W4327925678 hasRelatedWork W2743446525 @default.
- W4327925678 isParatext "false" @default.
- W4327925678 isRetracted "false" @default.
- W4327925678 workType "article" @default.