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arXiv · 1812.01083

A System for Automated Image Editing from Natural Language Commands

Jacqueline Brixey·Ramesh Manuvinakurike·Nham Le·Tuan Lai·Walter Chang·Trung Bui
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Abstract

This work presents the task of modifying images in an image editing program using natural language written commands. We utilize a corpus of over 6000 image edit text requests to alter real world images collected via crowdsourcing. A novel framework composed of actions and entities to map a user's natural language request to executable commands in an image editing program is described. We resolve previously labeled annotator disagreement through a voting process and complete annotation of the corpus. We experimented with different machine learning models and found that the LSTM, the SVM, and the bidirectional LSTM-CRF joint models are the best to detect image editing actions and associated entities in a given utterance.

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Jacqueline Brixey, Ramesh Manuvinakurike, Nham Le, Tuan Lai, Walter Chang, Trung Bui. 2018-12-03. A System for Automated Image Editing from Natural Language Commands. https://arxiv.org/abs/1812.01083

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