MCA2Net-HFG: Handwritten Font Generation Based on Res2Net and Multi-Spectral Channel Attention
To address the issue of insufficient feature extraction in handwritten font generation models concerning stroke position, tilt angle, and stroke thickness, which leads to significant discrepancies in details between generated fonts and real handwritten fonts, we propose a handwritten font generation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10681434/ |