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DLP-GAN: Learning to Draw Modern Chinese Landscape Photos with Generative Adversarial Network
March 7, 2024, 5:45 a.m. | Xiangquan Gui, Binxuan Zhang, Li Li, Yi Yang
cs.CV updates on arXiv.org arxiv.org
Abstract: Chinese landscape painting has a unique and artistic style, and its drawing technique is highly abstract in both the use of color and the realistic representation of objects. Previous methods focus on transferring from modern photos to ancient ink paintings. However, little attention has been paid to translating landscape paintings into modern photos. To solve such problems, in this paper, we (1) propose DLP-GAN (\textbf{D}raw Modern Chinese \textbf{L}andscape \textbf{P}hotos with \textbf{G}enerative \textbf{A}dversarial \textbf{N}etwork), an unsupervised …
abstract adversarial arxiv attention chinese color cs.ai cs.cv dlp focus gan generative generative adversarial network however landscape modern network objects painting photos representation style type
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