Improved Style Transfer by Respecting Inter-layer Correlations

Understand

A popular series of style transfer methods apply a style to a content image by controlling mean and covariance of values in early layers of a feature stack.

• This is insufficient for transferring styles that have strong structure across spatial scales like, e.g., textures where dots lie on long curves.
• This paper demonstrates that controlling inter-layer correlations yields visible improvements in style transfer methods.
• We achieve this control by computing cross-layer, rather than within-layer, gram matrices.