2021
StyleFormer: Real-Time Arbitrary Style Transfer via Parametric Style Composition
ICCV 2021poster
In this work, we propose a new feed-forward arbitrary style transfer method, referred to as StyleFormer, which can simultaneously fulfill fine-grained style diversity and semantic content coherency. Specifically, our transformer-inspired feature-level stylization method consists of three modules: (a…