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- ---
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ ---
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+
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+ # Processed-Data
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+
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+ This [repository](https://github.com/SignDiff) stores the preprocessed data for paper:
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+ <br>[SignDiff: Learning Diffusion Models for American Sign Language Production](https://arxiv.org/abs/2308.16082)
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+
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+ **Note:** We're going to start a company, and the code is not going to be public.
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+
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+ ## How2Sign for ASLP
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+
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+ After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows:
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+
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+ - [https://huggingface.co/datasets/SignDiff/how2sign-pre.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/how2sign-pre.zip)
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+
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+ It can be used in the training of ASL production models.
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+ <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.*
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+
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+ ## Phoenix-14T for GSLP
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+
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+ 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:
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+
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+ - [https://huggingface.co/datasets/SignDiff/phoenix-pre.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/phoenix-pre.zip)
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+
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+ It can be used in the training of GSL production models.
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+
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+ ## How2Sign for SignDiff
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+
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+ After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows:
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+
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+ - [https://huggingface.co/datasets/SignDiff/How2Sign-Diff.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/How2Sign-Diff.zip)
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+
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+ 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))
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+
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+ ## How2Sign for Vid2Vid
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+
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+ After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows:
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+
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+ - https://aistudio.baidu.com/datasetdetail/220064
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+
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+ It can be used for the GAN model training of pose2video in sign language. (Based on [Vid2Vid](https://github.com/NVIDIA/vid2vid))
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+
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+ ## Tool for Data
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+ Our pre-processing tools: the data cleansing tool at [SignDiff/tool](https://github.com/SignDiff/Processed-Data/tree/main/tools).
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+
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+ Stay tuned. The data above should be sufficient for the time being.
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+
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+ ```
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+ @misc{fang2024signllm,
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+ title={SignLLM: Sign Languages Production Large Language Models},
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+ author={Sen Fang and Lei Wang and Ce Zheng and Yapeng Tian and Chen Chen},
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+ year={2024},
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+ eprint={2405.10718},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV}
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+ }
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+
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+ @misc{fang2023signdiff,
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+ title={SignDiff: Learning Diffusion Models for American Sign Language Production},
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+ author={Sen Fang and Chunyu Sui and Xuedong Zhang and Yapeng Tian},
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+ year={2023},
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+ eprint={2308.16082},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV}
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+ }
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+ ```
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+
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+ ## Related Work
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+
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+ - https://github.com/BenSaunders27/ProgressiveTransformersSLP
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+ - https://github.com/lllyasviel/ControlNet