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Generated Contents Enrichment
May 7, 2024, 4:44 a.m. | Mahdi Naseri, Jiayan Qiu, Zhou Wang
cs.LG updates on arXiv.org arxiv.org
Abstract: In this paper, we investigate a novel artificial intelligence generation task, termed as generated contents enrichment (GCE). Different from conventional artificial intelligence contents generation task that enriches the given textual description implicitly with limited semantics for generating visually real content, our proposed GCE strives to perform content enrichment explicitly on both the visual and textual domain, from which the enriched contents are visually real, structurally reasonable, and semantically abundant. Towards to solve GCE, we propose …
abstract artificial artificial intelligence arxiv contents cs.cv cs.lg generated intelligence novel paper semantics textual type
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