3 papers
cs.CV2026
DeCorStory: Gram-Schmidt Prompt Embedding Decorrelation for Consistent Storytelling
Ayushman Sarkar, Zhenyu Yu, Mohd Yamani Idna Idris
Maintaining visual and semantic consistency across frames is a key challenge in text-to-image storytelling. Existing training-free methods, such as One-Prompt-One-Story, concatenat…
cs.CV2026
StoryState: Agent-Based State Control for Consistent and Editable Storybooks
Ayushman Sarkar, Zhenyu Yu, Wei Tang +3
Large multimodal models have enabled one-click storybook generation, where users provide a short description and receive a multi-page illustrated story. However, the underlying sto…
cs.CV2026
ReDiStory: Region-Disentangled Diffusion for Consistent Visual Story Generation
Ayushman Sarkar, Zhenyu Yu, Chu Chen +3
Generating coherent visual stories requires maintaining subject identity across multiple images while preserving frame-specific semantics. Recent training-free methods concatenate…