Guang Luo

Semantic Segmentation-Guided Reconstruction and Artistic Style Synthesis of Intangible Cultural Heritage Patterns Using a Deep Learning Framework.

Experimental results demonstrate that the proposed attention-guided SegCycle-SPADE framework improves segmentation accuracy and heritage-pattern reconstruction performance compared with existing generative adversarial network (GAN)-based reconstruction methods.