Handwriting generation
6 papers with code • 0 benchmarks • 8 datasets
The inverse of handwriting recognition. From text generate and image of handwriting (offline) of trajectory of handwriting (online).
Benchmarks
These leaderboards are used to track progress in Handwriting generation
DeepWriting
HKR
Schiller
Ricordi
Patzig
Schwerin
Konzil
BRUSH
Most implemented papers
HyperNetworks
This work explores hypernetworks: an approach of using a one network, also known as a hypernetwork, to generate the weights for another network.
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
amzn/convolutional-handwriting-gan
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CVPR 2020
This is especially true for handwritten text recognition (HTR), where each author has a unique style, unlike printed text, where the variation is smaller by design.
Professor Forcing: A New Algorithm for Training Recurrent Networks
mojesty/professor_forcing
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NeurIPS 2016
We introduce the Professor Forcing algorithm, which uses adversarial domain adaptation to encourage the dynamics of the recurrent network to be the same when training the network and when sampling from the network over multiple time steps.
DeepWriting: Making Digital Ink Editable via Deep Generative Modeling
Digital ink promises to combine the flexibility and aesthetics of handwriting and the ability to process, search and edit digital text.
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
herobd/handwriting_line_generation
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This paper presents a GAN for generating images of handwritten lines conditioned on arbitrary text and latent style vectors.
Diffusion models for Handwriting Generation
tcl9876/Diffusion-Handwriting-Generation
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In this paper, we propose a diffusion probabilistic model for handwriting generation.
