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A survey of natural language generation
This article offers a comprehensive review of the research on Natural Language Generation
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …
Storytelling with image data: A systematic review and comparative analysis of methods and tools
In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …
media platforms, and the Internet of Things. A significant portion of this information comes in …
Knowledge-enriched attention network with group-wise semantic for visual storytelling
As a technically challenging topic, visual storytelling aims at generating an imaginary and
coherent story with narrative multi-sentences from a group of relevant images. Existing …
coherent story with narrative multi-sentences from a group of relevant images. Existing …
BERT-hLSTMs: BERT and hierarchical LSTMs for visual storytelling
Visual storytelling is a creative and challenging task, aiming to automatically generate a
story-like description for a sequence of images. The descriptions generated by previous …
story-like description for a sequence of images. The descriptions generated by previous …
Latent memory-augmented graph transformer for visual storytelling
Visual storytelling aims to automatically generate a human-like short story given an image
stream. Most existing works utilize either scene-level or object-level representations …
stream. Most existing works utilize either scene-level or object-level representations …
Two heads are better than one: Hypergraph-enhanced graph reasoning for visual event ratiocination
Even with a still image, humans can ratiocinate various visual cause-and-effect descriptions
before, at present, and after, as well as beyond the given image. However, it is challenging …
before, at present, and after, as well as beyond the given image. However, it is challenging …
Coherent visual storytelling via parallel top-down visual and topic attention
Visual storytelling aims at producing a narrative paragraph for a given photo album
automatically. It introduces more new challenges than individual image paragraph …
automatically. It introduces more new challenges than individual image paragraph …
Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning
Visual storytelling systems generate multi-sentence stories from image sequences. In this
task, capturing contextual information and bridging visual variation bring additional …
task, capturing contextual information and bridging visual variation bring additional …
Text-only training for visual storytelling
Visual storytelling aims to generate a narrative based on a sequence of images,
necessitating both vision-language alignment and coherent story generation. Most existing …
necessitating both vision-language alignment and coherent story generation. Most existing …
Sentistory: A multi-layered sentiment-aware generative model for visual storytelling
The visual storytelling (VIST) task aims at generating reasonable, human-like and coherent
stories with the image streams as input. Although many deep learning models have …
stories with the image streams as input. Although many deep learning models have …