Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology
원문 초록
In this paper, we collect an anthology of 100 visual stories from authors who participated in our systematic creative process of improvised story-building based on image sequences. Following close reading and thematic analysis of our anthology, we present five themes that characterize the variations found in this creative visual storytelling process: (1) Narrating What is in Vision vs. Envisioning; (2) Dynamically Characterizing Entities/Objects; (3) Sensing Experiential Information About the Scenery; (4) Modulating the Mood; (5) Encoding Narrative Biases. In understanding the varied ways that people derive stories from images, we offer considerations for collecting story-driven training data to inform automatic story generation. In correspondence with each theme, we envision narrative intelligence criteria for computational visual storytelling as: creative, reliable, expressive, grounded, and responsible. From these criteria, we discuss how to foreground creative expression, account for biases, and operate in the bounds of visual storyworlds.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Consistent Story Generation with Asymmetry Zigzag Sampling
StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation
Knowledge-Enriched Visual Storytelling
Informative Visual Storytelling with Cross-modal Rules
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation
Action2Dialogue: Generating Character-Centric Narratives from Scene-Level Prompts
토론
이 논문과 연결된 포럼 글이 아직 없습니다.