Update README.md

README.md

@@ -12,7 +12,7 @@ size_categories:
 ### Dataset Description
 
 - **Repository:** [https://github.com/EngineeringAI-LAB/3DXTalker/tree/main]
-- **Paper:** [Comiing Soon]
+- **Paper:** [https://arxiv.org/abs/2602.10516]
 - **Project :** [https://engineeringai-lab.github.io/3DXTalker.github.io/]
 
 ### Dataset Summary
@@ -226,18 +226,6 @@ Raw videos from the wild (e.g., VoxCeleb2, Celebv-HQ) often contain background n
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-If you use this dataset, please cite the original source datasets:
-
-- **GRID**: Cooke, M., et al. (2006). An audio-visual corpus for speech perception and automatic speech recognition.
-- **RAVDESS**: Livingstone, S. R., & Russo, F. A. (2018). The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS).
-- **MEAD**: Wang, K., et al. (2020). MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation.
-- **VoxCeleb2**: Chung, J. S., et al. (2018). VoxCeleb2: Deep Speaker Recognition.
-- **HDTF**: Zhang, Z., et al. (2021). Flow-guided One-shot Talking Face Generation with a High-resolution Audio-visual Dataset.
-- **CelebV-HQ**: Zhu, H., et al. (2022). CelebV-HQ: A Large-Scale Video Facial Attributes Dataset.
-
-And the EMOCA model used for parameter extraction:
-- **EMOCA**: Danecek, R., et al. (2022). EMOCA: Emotion Driven Monocular Face Capture and Animation.
-
 ## License
 
 Please refer to the original dataset licenses: