Handwriting generation short project using pytorch based on alex graves ' paper
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Updated
Nov 17, 2018 - Python
Handwriting generation short project using pytorch based on alex graves ' paper
Handwriting synthesis and text prediction using RNNs
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.
An online handwriting synthesizer based on Alex Graves paper - Generating Sequences With Recurrent Neural Networks. GUI built in electron.js
Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch
Synthesizing multi-mode handwriting motion with kinematics features
Implementation of handwriting synthesis from this paper by Alex Graves - https://arxiv.org/pdf/1308.0850.pdf
(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)
A handwritten document synthesizer to generate samples for HTR models.
A GAN model that can generate handwritten samples
Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
Source code for ECCV20 "GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images"
Making Handwriting Synthesis with RNNs more Package-Friendly
Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper
Handwriting-Transformers (ICCV21)
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).
Handwriting Synthesis with RNNs ✏️
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