Scene Synthesis with Automated Generation of Textual Descriptions

dc.contributor.authorMüller-Huschke, Julianen_US
dc.contributor.authorRitter, Marcelen_US
dc.contributor.authorHarders, Matthiasen_US
dc.contributor.editorPelechano, Nuriaen_US
dc.contributor.editorVanderhaeghe, Daviden_US
dc.date.accessioned2022-04-22T08:16:11Z
dc.date.available2022-04-22T08:16:11Z
dc.date.issued2022
dc.description.abstractMost current research on automatically captioning and describing scenes with spatial content focuses on images. We outline that generating descriptive text for a synthesized 3D scene can be achieved via a suitable intermediate representation employed in the synthesis algorithm. As an example, we synthesize scenes of medieval village settings, and generate their descriptions. Our system employs graph grammars, Markov Chain Monte Carlo optimization, and a natural language generation pipeline. Randomly placed objects are evaluated and optimized by a cost function capturing neighborhood relations, path layouts, and collisions. Further, in a pilot study we assess the performance of our framework by comparing the generated descriptions to others provided by human subjects. While the latter were often short and low-effort, the highest-rated ones clearly outperform our generated ones. Nevertheless, the average of all collected human descriptions was indeed rated by the study participants as being less accurate than the automated ones.en_US
dc.description.sectionheadersProcedural Modelling
dc.description.seriesinformationEurographics 2022 - Short Papers
dc.identifier.doi10.2312/egs.20221026
dc.identifier.isbn978-3-03868-169-4
dc.identifier.issn1017-4656
dc.identifier.pages33-36
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20221026
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20221026
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies --> Computer graphics; Natural language generation
dc.subjectComputing methodologies
dc.subjectComputer graphics
dc.subjectNatural language generation
dc.titleScene Synthesis with Automated Generation of Textual Descriptionsen_US
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