VisAgent: Narrative-Preserving Story Visualization Framework

• URL: http://arxiv.org/abs/2503.02399v1
• Date: Tue, 04 Mar 2025 08:41:45 GMT
• Title: VisAgent: Narrative-Preserving Story Visualization Framework
• Authors: Seungkwon Kim, GyuTae Park, Sangyeon Kim, Seung-Hun Nam,
• Abstract summary: VisAgent is a training-free framework designed to comprehend and visualize pivotal scenes within a given story.<n>By considering story distillation, semantic consistency, and contextual coherence, VisAgent employs an agentic workflow.<n>The empirically validated effectiveness confirms the framework's suitability for practical story visualization applications.
• Score: 5.86192577938549
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Story visualization is the transformation of narrative elements into image sequences. While existing research has primarily focused on visual contextual coherence, the deeper narrative essence of stories often remains overlooked. This limitation hinders the practical application of these approaches, as generated images frequently fail to capture the intended meaning and nuances of the narrative fully. To address these challenges, we propose VisAgent, a training-free multi-agent framework designed to comprehend and visualize pivotal scenes within a given story. By considering story distillation, semantic consistency, and contextual coherence, VisAgent employs an agentic workflow. In this workflow, multiple specialized agents collaborate to: (i) refine layered prompts based on the narrative structure and (ii) seamlessly integrate \gt{generated} elements, including refined prompts, scene elements, and subject placement, into the final image. The empirically validated effectiveness confirms the framework's suitability for practical story visualization applications.

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