Learning Dynamic Style Kernels for Artistic Style Transfer

Wenju Xu, Chengjiang Long, Yongwei Nie

Arbitrary style transfer has been demonstrated to be efficient in artistic image generation. Previous methods either globally modulate the content feature ignoring local details, o…