Abstract: Global effective receptive field plays a crucial role for image style transfer (ST) to obtain high-quality stylized results. However, existing ST backbones (e.g., CNNs and Transformers) ...

Abstract: ResNet effectively addresses the vanishing gradient problem in deep networks by introducing skip connections, making it a leading model in image classification tasks. This paper proposes an ...