FreeStory: Training-Free Character Consistency for Free-Form Visual Storytelling
Visual storytelling aims to generate image sequences that are both aligned with narrative prompts and consistent in character appearance across images. Recent training-free methods improve character consistency by reusing attention features, but rely on structured prompts where full character descriptions are repeated in every prompt. This assumption simplifies the task but deviates from natural storytelling, where characters are typically introduced once and later referred to using pronouns or type-based expressions. We propose \textbf{FreeStory}, a training-free framework that reformulates character consistency under free-form prompts as entity-grounded feature reuse. Our method associa...
| Authors | Sibo Dong, Ismail Shaheen, Sarah Adel Bargal |
|---|---|
| Primary category | cs.CV |
| Published | 23 June 2026 |
| Last updated at source | 2 July 2026 |
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