WDANet: Exploring Style Feature via Dual Cross-Attention for Woodcut-Style Design
Yangchunxue Ou,
Jingjun Xu
Abstract:People are drawn to woodcut-style designs due to their striking visual impact and strong contrast. However, traditional woodcut prints and previous computer-aided methods have not addressed the issues of dwindling design inspiration, lengthy production times, and complex adjustment procedures. We propose a novel network framework, the Woodcut-style Design Assistant Network (WDANet), to tackle these challenges. Notably, our research is the first to utilize diffusion models to streamline the woodcut-style design… Show more
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