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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Official Code for ECCV 2024 paper — One-Shot Diffusion Mimicker for Handwritten Text Generation
| Date | Stars |
|---|---|
| 2026-07-24 | 559 |
| 2026-07-25 | 559 |
| 2026-07-28 | 559 |
| 2026-07-30 | 559 |
| 2026-08-06 | 559 |
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<a href=""><img src="https://img.shields.io/badge/Pytorch-1.13-green"></a> <a href="https://github.com/dailenson/One-DM/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-blue"></a> <h2 align="center"><a href="">One-DM:One-Shot Diffusion Mimicker for Handwritten Text Generation</a></h2> <div align="center"> <a href="https://arxiv.org/abs/2409.04004">ArXiv</a> | <a href="https://github.com/dailenson/One-DM/blob/main/assets/Poster__One_DM.pdf">Poster</a> | <a href="https://www.youtube.com/watch?v=5LoQ4iuVeak&t=19s">Video</a> </div> <br> <p align="center"> <img src="assets/js79ccvr33.png" style="width: 200px; height: 200px; margin: 0 auto;"> </p> <!-- <a href="https://github.com/Ucas-HaoranWei/GOT-OCR2.0/"><img src="https://img.shields.io/badge/Project-Page-Green"></a> --> <!-- <a href="https://github.com/Ucas-HaoranWei/GOT-OCR2.0/blob/main/assets/wechat.jpg"><img src="https://img.shields.io/badge/Wechat-blue"></a> <a href="https://zhuanlan.zhihu.com/p/718163422"><img src="https://img.shields.io/badge/zhihu-red"></a> --> <!-- [Gang Dai](https://scholar.google.com/citations?user=J4naK0MAAAAJ&hl=en), Yifan Zhang, Quhui Ke, Qiangya Guo, Lingyu Kong, Yanming Xu, [Zheng Ge](https://joker316701882.github.io/), Liang Zhao, [Jianjian Sun](https://scholar.google.com/citations?user=MVZrGkYAAAAJ&hl=en), [Yuang Peng](https://scholar.google.com.hk/citations?user=J0ko04IAAAAJ&hl=zh-CN&oi=ao), Chunrui Han, [Xiangyu Zhang](https://scholar.google.com/citations?user=yuB-cfoAAAAJ&hl=en) --> <!-- <p align="center"> <img src="assets/got_logo.png" style="width: 200px" align=center> </p> --> ## 🌟 Introduction - We propose a One-shot Diffusion Mimicker (One-DM) for stylized handwritten text generation, which only requires a single reference sample as style input, and imitates its writing style to generate handwritten text with arbitrary content. - Previous state-of-the-art methods struggle to accurately extract a user's handwriting style from a single sample due to their limited ability to learn styles. To address this issue, we introduce the high-frequency components of the reference sample to enhance the extraction of handwriting style. The proposed style-enhanced module can effectively capture the writing style patterns and suppress the interference of background noise. - Extensive experiments on handwriting datasets in English, Chinese, and Japanese demonstrate that our approach with a single style reference even outperforms previous methods with 15x-more references. <div style="display: flex; flex-direction: column; align-items: center; "> <img src="assets/overview_v2.png" style="width: 100%;"> </div> <p align="center" style="margin-bottom: 10px;"> Overview of the proposed One-DM </p> ## 🌠 News - [2025/06/26] 🔥🔥🔥 [DiffBrush](https://github.com/dailenson/DiffBrush), a novel state-of-the-art approach for full-line text generation, is accepted to ICCV 2025. - [2024/10/24] We have provided a well-trained One-DM checkpoint on Google Drive and Baidu Drive :) - [2024/09/16] This work is reported by [Synced](https://mp.weixin.qq.com/s/1JdBsjf0hru7iSS7jln02Q) (机器之心). - [2024/09/07]🔥🔥🔥 We open-source the first version of One-DM that can generate handwritten words. (Later versions supporting Chinese and Japanese will be released soon.) ## 🔨 Requirements ``` conda create -n One-DM python=3.8 -y conda activate One-DM # install all dependencies conda env create -f environment.yml ``` ## ☀️ Datasets We provide English datasets in [Google Drive](https://drive.google.com/drive/folders/108TB-z2ytAZSIEzND94dyufybjpqVyn6) | [Baidu Netdisk](https://pan.baidu.com/s/14ESFRk0RaTr98eeLzcr_xw?pwd=4vsv) | [ShiZhi AI](https://wisemodel.cn/models/SCUT-MMPR/One-DM/blob/main/English_data.zip). Please download these datasets, uzip them and move the extracted files to /data. ## 🐳 Model Zoo | Model|Google Drive|Baidu Netdisk|ShiZhi AI| |---------------|---------|-----------------------------------------|--------------| |Pretrained One-DM|
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matched fp:3f73ac2336568ccd, topic:diffusion-models, topic:image-generation
matched fp:3f73ac2336568ccd, topic:deep-learning
matched fp:3f73ac2336568ccd, topic:computer-vision