Story visualization requires generating a coherent sequence of images that collectively form a narrative, yet existing evaluation metrics and datasets often overlook visual continuity and narrative diversity.In this paper, we introduce the Visual Context-Aware Metric for Story Visualization (VCMS), which uses large vision-language models to jointly assess caption fidelity and inter-image consistency, achieving Spearman's correlation comparable to human agreement on two benchmarks.Also, to address the shortcomings of narrowly defined datasets with low diversity, we propose a diffusion-augmented evaluation pipeline that blends diverse and controlled narrative elements at adjustable ratios, enabling the creation of evaluation sets tailored to specific objectives.By combining VCMS with this pipeline, we provide a scalable, human-aligned framework for evaluating story visualization models.

Although auto-regressive models excel in natural language processing, they often struggle to generate diverse text and provide limited controllability.Non-auto-regressive methods could be an alternative but often produce degenerate outputs and exhibit shortcomings in conditional generation.To address these challenges, we propose Diffusion-EAGS, a novel framework that integrates conditional masked language models into diffusion language models through the theoretical lens of a conditional Markov Random Field.In doing so, we propose entropy-adaptive Gibbs sampling and entropybased noise scheduling to counterbalance each model's shortcomings.Experimental results show that Diffusion-EAGS outperforms baselines and achieves the best quality-diversity tradeoff, demonstrating its effectiveness in nonautoregressive text generation.Context Jake was playing with his toys.He accidentally broke his favorite one.He cried a lot over it.His parents decided to replace it for him.Keyword not stop Jake just could not stop crying.Jake feel It made Jake feel So much better.would enjoy Jake said he would enjoy the new toy Context Neil was in Sofia, Bulgaria.He was enjoying a trip backpacking through Europe....He thought the food and culture in