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cs.CV2023★ 1 cited
Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation
Chenchen Xu, Min Zhou, Tiezheng Ge +2
Layout is essential for graphic design and poster generation. Recently, applying deep learning models to generate layouts has attracted increasing attention. This paper focuses on…
cs.CV2023
CF-Font: Content Fusion for Few-shot Font Generation
Chi Wang, Min Zhou, Tiezheng Ge +3
Content and style disentanglement is an effective way to achieve few-shot font generation. It allows to transfer the style of the font image in a source domain to the style defined…