Style Transfer by Rigid Alignment in Neural Net Feature Space
Style Transfer by Rigid Alignment in Neural Net Feature Space
Arbitrary style transfer is an important problem in computer vision that aims to transfer style patterns from an arbitrary style image to a given content image. However, current methods either rely on slow iterative optimization or fast pre-determined feature transformation, but at the cost of compromised visual quality of the …