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Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
The image sequences are aligned with a total of 12K stories which were collected via crowdsourcing given the image sequences and a set of grounded characters from the corresponding image sequence.
Data Augmentation using Feature Generation for Volumetric Medical Images
Deep Learning models, in particular, show promising results on image segmentation and classification problems, but they require very large datasets for training.
Diverse and Relevant Visual Storytelling with Scene Graph Embeddings
A problem in automatically generated stories for image sequences is that they use overly generic vocabulary and phrase structure and fail to match the distributional characteristics of human-generated text.
Ranked #5 on
Visual Storytelling
on VIST
