Repository-Metriken
- Stars
- (18.909 Stars)
- PR-Merge-Metriken
- (Keine gemergten PRs in 30 T)
Beschreibung
The image style transfer research over the past year is capable of generating a new image conditioned on a painting’s style. The original results were revelatory and the more recent research directions have been very promising.
This exciting development serves well as an analogy to music. In that domain, we don’t yet have a great way to condition on the style of an artist or genre, let alone transfer styles while preserving content.
The problem therefore is to come up with a good way to do style-conditioned music generation, where style is either artist or genre. The ideal would be that this leads to a natural way to do style transfer as well. Magenta is interested in this because we think it would be a great tool for musicians, an interesting research direction into what are the core parts of music, and possibly would require developing new techniques for music machine learning.