Visual attribute manipulation using natural language commands

Seito Kasai, Naofumi Akimoto, Masaki Hayashi, Yoshimitsu Aoki

研究成果: Article査読

抄録

In this paper, a novel setting is tackled in which a neural network generates object images with transferred attributes, by conditioning on natural language commands. Conventional methods for object image transformation have used visual attributes, which are components that describe the object's color, posture, etc. This paper builds on this approach and finds an algorithm to precisely extract information from natural language commands, which transfers the attributes of an image and completes this image translation model. The effectiveness of our information extraction model is experimented, with additional tests to see if the change in visual attributes is correctly seen in the image.

本文言語English
ページ(範囲)1102-1109
ページ数8
ジャーナルSeimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
85
12
DOI
出版ステータスPublished - 2019

ASJC Scopus subject areas

  • 機械工学

フィンガープリント

「Visual attribute manipulation using natural language commands」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル