Backbone Choice Matters: Human and Perceptual Evaluation of CNN-Based Neural Style Transfer
Neural style transfer (NST) commonly relies on pretrained convolutional neural networks (CNNs) to extract content and style representations, yet the effect of CNN backbone selection on the perceived quality of stylized images remains underexplored. This paper presents an empirical study of five CNN backbones for NST ac...