deepsing: Generating sentiment-aware visual stories using cross-modal music translation

作者：

Highlights：

• A method for sentiment-aware visual stories generation is proposed in this paper.

• The synthesized visual stories express the sentiment induced by songs.

• The proposed method employs a cross-modal music translation approach.

• Various aspects of the proposed method are extensively evaluated.

摘要

•A method for sentiment-aware visual stories generation is proposed in this paper.•The synthesized visual stories express the sentiment induced by songs.•The proposed method employs a cross-modal music translation approach.•Various aspects of the proposed method are extensively evaluated.

论文关键词：Music-to-image translation,Visual stories,Generative Adversarial Networks,Neural style transfer

论文评审过程：Received 12 May 2020, Revised 31 August 2020, Accepted 24 September 2020, Available online 25 September 2020, Version of Record 30 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114059