Image Generation Associated with Music Data
Abstract
Recently, the development of music appreciation device has made it possible to listen to various kinds of music regardless of location. On the other hand, if it is possible to express visual contents that best matches music, we can expect a more expressive music appreciation experience by not only "listening to" the music but also "watching" the music. In this paper, we address the problems below: (1) learning a correlation between music data and images; (2) generating images from music data automatically. The experiments show that our proposed method can effectively generate proper images from music data.
Cite
Text
Qiu and Kataoka. "Image Generation Associated with Music Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018.Markdown
[Qiu and Kataoka. "Image Generation Associated with Music Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018.](https://mlanthology.org/cvprw/2018/qiu2018cvprw-image/)BibTeX
@inproceedings{qiu2018cvprw-image,
title = {{Image Generation Associated with Music Data}},
author = {Qiu, Yue and Kataoka, Hirokatsu},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2018},
pages = {2510-2513},
url = {https://mlanthology.org/cvprw/2018/qiu2018cvprw-image/}
}