Handwriting Synthesis with RNNs ✏️
#计算机科学#This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
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
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023
Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
Handwriting Synthesis and Prediction - PyTorch Implementation
[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.
Official PyTorch Implementation of "Rethinking HTG Evaluation: Bridging Generation and Recognition" (Oral) - 1st Workshop on Critical Evaluation of Generative Models and their Impact on Society - ECCV...
You can convert text/word word file to your handwriting. The results are indistinguishable from original handwritting.
sequence generation using RNN using pytorch
#计算机科学#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
Generate handwriting in a completely offline fashion
#编辑器#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 i...
Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch
#计算机科学#A PyTorch handwriting-synthesis model built on Graves’ LSTM+attention paper, with multi-stage distributed training, a React demo UI, and a ready-to-use inference API.
Models for handwriting generation for academic purposes (My Bachelor thesis)