Computational Art

[ with Georgia Tech ] Computational creativity is a lively research area that focuses on understanding and facilitating human creativity through the implementation of software programs. With the rapid advances in data driven algorithms such as deep learning, the exploration into computational creativity via machine learning approaches have become increasingly popular. Currently, we have been working in music generation and calligraphy.

Learning to Fuse Music Genres with Generative Adversarial Dual Learning

Extend GAN to fuse different domains in an unsupervised fashion, which is not only for music fusion but also any other domain.