PlotShot: Generating Discourse-Constrained Stories Around Photos


  • Rogelio Cardona-Rivera North Carolina State University
  • Boyang Li Disney Research Pittsburgh



Narrative Generation, Automated Planning, Narrative Discourse, Scene Graphs, Photos


Story generators typically adopt a pipelined model of generation wherein fabula structure is decided independently and prior to discourse structure. In this paper, we propose a novel story generator, PlotShot, capable of reasoning over discourse materials during fabula generation such that these materials meaningfully constrain the development of a causally and intentionally coherent story. PlotShot incorporates user-supplied photographs as optional story states through an oversubscription planning paradigm. Further, to leverage existing work on planning-based models of generation, we present a technique to compile the photo story planning problem to classical narrative planning. Our system attempts to maximize quality of an illustrated story by analyzing the affinity between a photo and the action it is meant to depict. An evaluation of generated artifacts shows advantage over heuristic baseline techniques.




How to Cite

Cardona-Rivera, R., & Li, B. (2021). PlotShot: Generating Discourse-Constrained Stories Around Photos. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 12(1), 2-8.