mlsanityData to 7 Oct 2026

Plot and Rework: Modeling Storylines for Visual Storytelling

arXiv 2105.06950 ↗First posted 14 May 2021cs.CL cs.AIcited by 14

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Abstract (arXiv)

Writing a coherent and engaging story is not easy. Creative writers use their knowledge and worldview to put disjointed elements together to form a coherent storyline, and work and rework iteratively toward perfection. Automated visual storytelling (VIST) models, however, make poor use of external knowledge and iterative generation when attempting to create stories. This paper introduces PR-VIST, a framework that represents the input image sequence as a story graph in which it finds the best path to form a storyline. PR-VIST then takes this path and learns to generate the final story via an iterative training process. This framework produces stories that are superior in terms of diversity, coherence, and humanness, per both automatic and human evaluations. An ablation study shows that both plotting and reworking contribute to the model's superiority.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 28 of its 41 references that are in the map. First posted on arXiv 14 May 2021.

Builds on

28 of 41 references.

References · 28

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16 more
  1. 2018No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytellingcited by 46
  2. 2019UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answeringcited by 37
  3. 2017Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffoldcited by 33
  4. 2019What Makes A Good Story? Designing Composite Rewards for Visual Storytellingcited by 29
  5. 2019Knowledge-Enriched Visual Storytellingcited by 26
  6. 2018GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generationcited by 23
  7. 2018Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generationcited by 21
  8. 2018Contextualize, Show and Tell: A Neural Visual Storytellercited by 13
  9. 2020Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytellingcited by 13
  10. 2019Visual Story Post-Editingcited by 10
  11. 2020Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytellingcited by 8
  12. 2019The Steep Road to Happily Ever After: An Analysis of Current Visual Storytelling Modelscited by 6
  13. 2017Multimodal Storytelling via Generative Adversarial Imitation Learningcited by 3
  14. 2018Using Inter-Sentence Diverse Beam Search to Reduce Redundancy in Visual Storytellingcited by 3
  15. 2019Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communicationcited by 3
  16. 2018Knowledge Base Relation Detection via Multi-View Matchingcited by 1

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Citing papers per year: 2023: 2; 2024: 8; 2025: 3; 2026: 1.

14 papers.

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