Story Generation with Rich Details
Automatically generated stories need to be not only coherent, but also interesting. Apart from realizing a story line, the text also needs to include rich details to engage the readers. We propose a model that features two different generation components: an outliner, which proceeds the main story line to realize global coherence; a detailer, which supplies relevant details to the story in a locally coherent manner. Human evaluations show our model substantially improves the informativeness of generated text while retaining its coherence, outperforming various baselines.
Code (0)
등록된 구현이 없습니다.
Tasks
InformativenessStory GenerationSimilar Papers 제목 키워드 기반
StoryWriter: A Multi-Agent Framework for Long Story Generation
Long story generation remains a challenge for existing large language models (LLMs), primarily due to two main factors: (1) discourse coherence, which requires plot consistency, logical coherence, and completeness in the…
Story GenerationStoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
For recent diffusion-based generative models, maintaining consistent content across a series of generated images, especially those containing subjects and complex details, presents a significant challenge. In this paper,…
motion predictionStory GenerationVideo GenerationKnowledge-Enriched Visual Storytelling
Stories are diverse and highly personalized, resulting in a large possible output space for story generation. Existing end-to-end approaches produce monotonous stories because they are limited to the vocabulary and knowl…
Knowledge GraphsStory GenerationVisual StorytellingSTORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives
This paper introduces StoryAnchors, a unified framework for generating high-quality, multi-scene story frames with strong temporal consistency. The framework employs a bidirectional story generator that integrates both p…
DiversityFormCharacter-Preserving Coherent Story Visualization
Story visualization aims at generating a sequence of images to narrate each sentence in a multi-sentence story. Different from video generation that focuses on maintaining the continuity of generated images (frames), sto…
Representation LearningSentenceStory Visualization