An Approach Based on Transformer and Deformable Convolution for Realistic Handwriting Samples Generation
Author:
Affiliation:
1. Inner Mongolia University,School of Computer Science,Hohhot,China
Funder
Natural Science Foundation of Inner Mongolia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956551.pdf?arnumber=9956551
Reference22 articles.
1. Generative adversarial nets;goodfellow;Conference on Neural Information Processing Systems (NIPS),2014
2. SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators
3. HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles
4. Handwriting Transformers
5. Attention is all you need;vaswani;Conference on Neural Information Processing Systems (NIPS),2017
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2. Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model;Lecture Notes in Computer Science;2023
3. AFFGANwriting: A Handwriting Image Generation Method Based on Multi-feature Fusion;Lecture Notes in Computer Science;2023
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