FW-GAN combines wave-modulated MLP generation with frequency-domain losses and a wavelet-based discriminator to synthesize handwriting from one example, reporting lower FID scores than prior methods on IAM and HANDS-VNOnDB.
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FW-GAN: Frequency-Driven Handwriting Synthesis with Wave-Modulated MLP Generator
FW-GAN combines wave-modulated MLP generation with frequency-domain losses and a wavelet-based discriminator to synthesize handwriting from one example, reporting lower FID scores than prior methods on IAM and HANDS-VNOnDB.