Learning Dynamic Style Kernels for Artistic Style Transfer

Content Style Ours StrTr 2 '22 AdaAttN'21 DRG-GAN'21 IEC'21 MAST'21 Figure 1. The first two rows show comparisons with state-of-the-art methods. The last row shows results of our proposed method, which can faithfully transfer various styles and preserve the content structure.