Plot’n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
DOI:
https://doi.org/10.1609/aaai.v40i3.37147Abstract
Text-to-image diffusion models have demonstrated significant capabilities to generate diverse and detailed visuals in various domains, and story visualization is emerging as a particularly promising application. However, as their use in real-world creative domains increases, the need for providing enhanced control, refinement, and the ability to modify images post-generation in a consistent manner becomes an important challenge. Existing methods often lack the flexibility to apply fine or coarse edits while maintaining visual and narrative consistency across multiple frames, preventing creators from seamlessly crafting and refining their visual stories. To address these challenges, we introduce Plot'n Polish, a zero-shot framework that enables consistent story generation and provides fine-grained control over story visualizations at various levels of detail.Published
2026-03-14
How to Cite
Akdemir, K., Shi, J., Kafle, K., Price, B. L., & Yanardag, P. (2026). Plot’n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence, 40(3), 1694–1702. https://doi.org/10.1609/aaai.v40i3.37147
Issue
Section
AAAI Technical Track on Cognitive Modeling & Cognitive Systems