Handwriting Synthesis with RNNs ✏️
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Updated
Jan 11, 2024 - Python
Handwriting Synthesis with RNNs ✏️
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR23).
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
Handwriting-Transformers (ICCV21)
Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper
Handwriting Synthesis and Prediction - PyTorch Implementation
Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023
[Siggraph Asia, 2020] sketch-transformerMMD: An Improved Sketch Generation Model [Publication: Pixelor: A Competitive Sketching AI Agent. So you think you can beat me?
Telegram Bot to convert text to Handwriting using pywhatkit.
sequence generation using RNN using pytorch
You can convert text/word word file to your handwriting. The results are indistinguishable from original handwritting.
Using Long Short-term Memory recurrent neural networks to generate highly realistic cursive handwriting in a wide variety of styles.
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
Generate handwriting in a completely offline fashion
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.
CG-GAN for Vietnamese Handwriting Words and Nom Characters
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