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Add paper code model links and citation

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  # Talker-T2AV-Data
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  Clean training data package for Talker-T2AV. Paths in `metadata/train.csv` are relative to the dataset root after extracting the shard archives.
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  ## Contents
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  ```
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  `Talker-T2AV/training/dataset.py` resolves `wav_path`, `motion_pt_path`, and `video_path` relative to `DATA_ROOT`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Talker-T2AV-Data
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+ **Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling**
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+ [Paper (arXiv 2604.23586)](https://arxiv.org/abs/2604.23586) ·
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+ [Code (GitHub)](https://github.com/zhenye234/Talker-T2AV) ·
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+ [Model](https://huggingface.co/HKUSTAudio/Talker-T2AV) ·
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+ [Samples](https://talker-t2av.github.io/)
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+
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  Clean training data package for Talker-T2AV. Paths in `metadata/train.csv` are relative to the dataset root after extracting the shard archives.
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  ## Contents
 
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  ```
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  `Talker-T2AV/training/dataset.py` resolves `wav_path`, `motion_pt_path`, and `video_path` relative to `DATA_ROOT`.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{ye2026talkert2avjointtalkingaudiovideo,
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+ title={Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling},
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+ author={Zhen Ye and Xu Tan and Aoxiong Yin and Hongzhan Lin and Guangyan Zhang and Peiwen Sun and Yiming Li and Chi-Min Chan and Wei Ye and Shikun Zhang and Wei Xue},
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+ year={2026},
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+ eprint={2604.23586},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2604.23586},
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+ }
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+ ```