9 citations · 12 across the 3 of their papers we have counts for
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cs.CV2023
Weakly Supervised Scene Text Generation for Low-resource Languages
Yangchen Xie, Xinyuan Chen, Hongjian Zhan +4
A large number of annotated training images is crucial for training successful scene text recognition models. However, collecting sufficient datasets can be a labor-intensive and c…
cs.CV2022★ 3 cited
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
Xinyuan Chen, Yangchen Xie, Li Sun +1
Automatic font generation without human experts is a practical and significant problem, especially for some languages that consist of a large number of characters. Existing methods…
cs.CV2021★ 9 cited
DG-Font: Deformable Generative Networks for Unsupervised Font Generation
Yangchen Xie, Xinyuan Chen, Li Sun +1
Font generation is a challenging problem especially for some writing systems that consist of a large number of characters and has attracted a lot of attention in recent years. Howe…