The Steep Road to Happily Ever After: An Analysis of Current Visual Storytelling Models
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Abstract (arXiv)
Visual storytelling is an intriguing and complex task that only recently entered the research arena. In this work, we survey relevant work to date, and conduct a thorough error analysis of three very recent approaches to visual storytelling. We categorize and provide examples of common types of errors, and identify key shortcomings in current work. Finally, we make recommendations for addressing these limitations in the future.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Apr 2019.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 2.
6 papers.
- 2021The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generationcited by 96
- 2021Plot and Rework: Modeling Storylines for Visual Storytellingcited by 14
- 2021Ordered Attention for Coherent Visual Storytellingcited by 6
- 2023Visual Storytelling with Question-Answer Planscited by 5
- 2024Story Generation from Visual Inputs: Techniques, Related Tasks, and Challengescited by 3
- 2024Generating Visual Stories with Grounded and Coreferent Characterscited by 1
- 2024Generating Visual Stories with Grounded and Coreferent Characters20 Sep 2024
- 2024Story Generation from Visual Inputs: Techniques, Related Tasks, and Challenges4 Jun 2024
- 2023Visual Storytelling with Question-Answer Plans8 Oct 2023
- 2021The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation14 Sep 2021
- 2021Ordered Attention for Coherent Visual Storytelling4 Aug 2021
- 2021Plot and Rework: Modeling Storylines for Visual Storytelling14 May 2021