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arXiv 2108.04324cs.CLcs.AIcs.CV

FairyTailor: A Multimodal Generative Framework for Storytelling

IBM Research(IBM研究院);MIT CSAIL(麻省理工学院计算机科学与人工智能实验室)

Eden Bensaid, Mauro Martino, Benjamin Hoover, Hendrik Strobelt

英文摘要:

Storytelling is an open-ended task that entails creative thinking and requires a constant flow of ideas. Natural language generation (NLG) for storytelling is especially challenging because it requires the generated text to follow an overall theme while remaining creative and diverse to engage the reader. In this work, we introduce a system and a web-based demo, FairyTailor, for human-in-the-loop visual story co-creation. Users can create a cohesive children's fairytale by weaving generated texts and retrieved images with their input. FairyTailor adds another modality and modifies the text generation process to produce a coherent and creative sequence of text and images. To our knowledge, this is the first dynamic tool for multimodal story generation that allows interactive co-formation of both texts and images. It allows users to give feedback on co-created stories and share their results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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