Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

Abstract

This paper introduces the task of interacting with an image editing program through natural language. We present a corpus of image edit requests which were elicited for real world images, and an annotation framework for understanding such natural language instructions and mapping them to actionable computer commands. Finally, we evaluate crowd-sourced annotation as a means of efficiently creating a sizable corpus at a reasonable cost.