computer-vision-2
Story Continuation
3260 papers • 126 benchmarks • 313 datasets
The task involves providing an initial scene that can be obtained in real world use cases. By including this scene, a model can then copy and adapt elements from it as it generates subsequent images. Source: StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
(Image credit: Papersgraph)
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Most implemented papers
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
Mohit Bansal, Adyasha Maharana, Darryl Hannan•Mon Sep 12 2022
This work enhances or 'retro-fit' the pretrained text-to-image synthesis models with task-specific modules for story continuation and facilitates copying of visual elements from the source image, thereby improving continuity in the generated visual story.
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