Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
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Updated
Jan 17, 2017 - Python
Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
A handwritten document synthesizer to generate samples for HTR models.
Handwriting synthesis and text prediction using RNNs
Handwriting generation short project using pytorch based on alex graves ' paper
Implementation of handwriting synthesis from this paper by Alex Graves - https://arxiv.org/pdf/1308.0850.pdf
Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch
Making Handwriting Synthesis with RNNs more Package-Friendly
Synthesizing multi-mode handwriting motion with kinematics features
Source code for ECCV20 "GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images"
A GAN model that can generate handwritten samples
An online handwriting synthesizer based on Alex Graves paper - Generating Sequences With Recurrent Neural Networks. GUI built in electron.js
(WIP) Implementation of a network for Handwriting Synthesis based on the work of Generating Sequences With Recurrent Neural Networks by Alex Graves (https://arxiv.org/abs/1308.0850)
This project offers a simple and intuitive interface for users to input text and generate images that showcase the text in a handwritten style. The generator supports several stylistic modifications including bold, underline, and color alterations, allowing users to create personalized and visually appealing images from their text.
Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper
Handwriting Synthesis with RNNs ✏️
Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
Handwriting-Transformers (ICCV21)
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