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dc.contributor.authorKim, Hanseob-
dc.contributor.authorAli, Ghazanfar-
dc.contributor.authorHwang, Jae-In-
dc.date.accessioned2024-01-19T09:08:49Z-
dc.date.available2024-01-19T09:08:49Z-
dc.date.created2022-04-03-
dc.date.issued2021-10-
dc.identifier.issn1554-7868-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/113582-
dc.description.abstractWe present a tool for Auto-generating Storyboard And Previz for screenwriters and filmmakers, called ASAP. Our system allows users to easily simulate their stories in the form of 3D animated/visual scenes with virtual humans in a virtual environment. We only ask users to write their script using Final Draft, an exclusive screen-writing tool, and upload them to our system. The uploaded script is parsed into paragraphs of the action, character, and dialogue. From those paragraphs (i.e., text data), our system uses a combination of deep learning, data-driven, and rule-based approaches to instantly generate virtual human's physical motions and co-speech gestures, presenting natural behavior/dialogue scenes. Thus, users can observe automatically generated pre-visualized animations (i.e., previz) from the script and can create the storyboard by capturing scenes being played. Our ASAP can minimize time-and-money consuming and labor-intensive work in the early stages of filmmaking, and do it as soon as possible. We believe that our tool and approach have a good potential for wide dissemination in the film industry.-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.titleASAP: Auto-generating Storyboard And Previz with Virtual Humans-
dc.typeConference-
dc.identifier.doi10.1109/ISMAR-Adjunct54149.2021.00071-
dc.description.journalClass1-
dc.identifier.bibliographicCitation20th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp.316 - 320-
dc.citation.title20th IEEE International Symposium on Mixed and Augmented Reality (ISMAR)-
dc.citation.startPage316-
dc.citation.endPage320-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceELECTR NETWORK-
dc.citation.conferenceDate2021-10-04-
dc.relation.isPartOf2021 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY ADJUNCT PROCEEDINGS (ISMAR-ADJUNCT 2021)-
dc.identifier.wosid000758410300059-
dc.identifier.scopusid2-s2.0-85126365883-
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KIST Conference Paper > 2021
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