Learning Implicit Glyph Shape Representation

Author:

Liu Ying-Tian1ORCID,Guo Yuan-Chen1,Li Yi-Xiao2,Wang Chen1ORCID,Zhang Song-Hai1ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. Academy of Arts & Design, Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. StyleGAN2-ADA and Real-ESRGAN: Thai font generation with generative adversarial networks;Advances in Computational Intelligence;2024-02-22

2. Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

3. Handling Chinese OOV with a Combination of Radical-based Sub-words and Glyph Features;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

4. DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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