Multilingual Story Illustration: Bridging Cultures through AI Artistry
Overview
Overview
This track focuses on generating visual illustrations for stories written in multiple languages, including English, and Hindi. This task has valuable applications across various domains, such as:
One current limitation in this domain is the use of a finite set of characters, which often restricts the richness and diversity found in culturally rooted stories like those in the Panchatantra. On the other hand, using an unlimited number of characters may lead to a lack of consistency, making it harder for readers to form a connection with the narrative.
To address this, we have collected dataset from publicly available stories and illustrations (with proper attribution), which don't have to aim fixed number of characters.
Task
Participants are invited to build AI-powered systems that understand narrative elements from multilingual stories and generate illustrations that reflect key moments in the plot. The aim is to enhance storytelling through coherent and culturally relevant visuals.
For more information on the datasets used for training and testing, please refer to the Dataset section.