Adaptive Convolutions for Structure-Aware Style Transfer

Figure 1: We propose Adaptive Convolutions (AdaConv), an extension of Adaptive Instance Normalization (AdaIN) for image style transfer, which is able to transfer both statistical and structural style elements. AdaConv can also be applied to generative models such as StyleGAN for photorealistic image synthesis on a multitude of datasets 1 .