Comparing GAN, diffusion, and autoregressive handwriting generators shows the autoregressive model helps recognition most with very little real data, while the diffusion model wins once more real data is available.
Gated convolu- tional recurrent neural networks for multilingual handwriting recognition
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Quo Vadis Handwritten Text Generation for Handwritten Text Recognition?
Comparing GAN, diffusion, and autoregressive handwriting generators shows the autoregressive model helps recognition most with very little real data, while the diffusion model wins once more real data is available.