Datasets:
ArXiv:
License:
| license: cc-by-nc-4.0 | |
| # Processed-Data | |
| This [repository](https://github.com/SignDiff) stores the preprocessed data for paper: | |
| <br>[SignDiff: Learning Diffusion Models for American Sign Language Production](https://arxiv.org/abs/2308.16082) | |
| **Note:** We're going to start a company, and the code is not going to be public. | |
| ## How2Sign for ASLP | |
| After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows: | |
| - [https://huggingface.co/datasets/SignDiff/how2sign-pre.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/how2sign-pre.zip) | |
| It can be used in the training of ASL production models. | |
| <br>*Note: Because I later processed more data, the link above is four times the size of the one in the paper and is the result of the full How2Sign processing.* | |
| ## Phoenix-14T for GSLP | |
| After preprocessing [Phoenix-14T](https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/) dataset, the condensed data set obtained is as follows: | |
| - [https://huggingface.co/datasets/SignDiff/phoenix-pre.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/phoenix-pre.zip) | |
| It can be used in the training of GSL production models. | |
| ## How2Sign for SignDiff | |
| After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows: | |
| - [https://huggingface.co/datasets/SignDiff/How2Sign-Diff.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/How2Sign-Diff.zip) | |
| It can be used for the diffusion model training of pose2video in sign language. (Based on [ControlNet](https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md)) | |
| ## How2Sign for Vid2Vid | |
| After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows: | |
| - https://aistudio.baidu.com/datasetdetail/220064 | |
| It can be used for the GAN model training of pose2video in sign language. (Based on [Vid2Vid](https://github.com/NVIDIA/vid2vid)) | |
| ## Tool for Data | |
| Our pre-processing tools: the data cleansing tool at [SignDiff/tool](https://github.com/SignDiff/Processed-Data/tree/main/tools). | |
| Stay tuned. The data above should be sufficient for the time being. | |
| ``` | |
| @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{fang2023signdiff, | |
| title={SignDiff: Learning Diffusion Models for American Sign Language Production}, | |
| author={Sen Fang and Chunyu Sui and Xuedong Zhang and Yapeng Tian}, | |
| year={2023}, | |
| eprint={2308.16082}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV} | |
| } | |
| ``` | |
| ## Related Work | |
| - https://github.com/BenSaunders27/ProgressiveTransformersSLP | |
| - https://github.com/lllyasviel/ControlNet | |