Prompt2Sign
Welcome to Prompt2Sign!
This repository stores the preprocessed data for the paper:
SignLLM: Sign Languages Production Large Language Models.
Note: The release of our data is tentatively expected at the end of 2024, so don't rush.
News
[2025.04.18] Surprise: We have released How2Sign new compressed data based on DWPose, and an upgraded version of the SignLLM-based application will be launched strongly in the future.
[2025.04.01] IMPORTANT: We will try to provide a new compression solution (maybe based DWpose) at some point. Therefore, for unreleased preprocessed data and for existing data processing, the best approach is to download the original dataset and then process it using our processing tools.
[2025.03.31] The prompt template has been updated, more data information has been updated. In the past, I've been wanting to optimize filtering, re-normalize according to body type and improve data quality, this make me have severe procrastination. And later I noticed that DWpose might be a better training method, so unreleased data will not be maintained because our time should spent on better data formats.
[2024.06.30] The Jupyer Notebook and Docker for data processing has been released.
[2024.05.17] The arXiv version of the paper is now available.
[2024.01.16] Prompt2Sign homepage is available and data is expected to be released after accept (maybe at the end of 2024, so don't rush).
[2023.12.14] We have made supplementary materials and demo available at this page.
[2023.11.04] We have made Prompt2Sign and Tools available at GitHub. Check out here.
Superset Introduction
Prompt2Sign is first comprehensive multilingual sign language superset, which uses tools to automate the acquisition and processing of sign language videos on the web, is an evolving data set that is efficient, lightweight, reducing the previous shortcomings. The details of the are available at https://signllm.github.io/Prompt2Sign/.
Current languages include: American Sign Language (ASL), German Sign Language (GSL, Alias DGS), Swiss German Sign Language (DSGS), French Sign Language of Switzerland (LSF-CH), Italian Sign Language of Switzerland (LIS-CH), Argentine Sign Language (Lengua de SeƱas Argentina, LSA), Korean Sign Language (KSL), and Turkish Sign Language (TSL).
How To Cite
Please cite the following paper when using Prompt2Sign in your research:
@misc{fang2024signllm,
title={SignLLM: Sign Languages Production Large Language Models},
author={Sen Fang and Lei Wang and Ce Zheng and Yapeng Tian and Chen Chen},
year={2024},
eprint={2405.10718},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{fang2025signdiffdiffusionmodelamerican,
title={SignDiff: Diffusion Model for American Sign Language Production},
author={Sen Fang and Chunyu Sui and Yanghao Zhou and Xuedong Zhang and Hongbin Zhong and Yapeng Tian and Chen Chen},
year={2025},
eprint={2308.16082},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2308.16082},
}