AI Research Paper Accepted & Published at CVPR 2024

AI Research Paper Accepted & Published at CVPR 2024

We are thrilled to announce that our "Style Transfer for 2D Talking Head Generation" research paper has been accepted and published at the Conference on Computer Vision and Pattern Recognition @CVPR 2024!

This groundbreaking research addresses the critical challenge of learning different talking or singing styles in Audio-driven talking head animation for real-world applications.

Our proposed method generates talking head animation with learnable style references that can reconstruct 2D talking head animation based on a single input image and an audio stream.

The Intensive experimental results from this research show that our method achieves better results than recent state-of-the-art approaches, both qualitatively and quantitatively.

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If you would like to understand this research work on a deeper level, you can read the research paper accepted at CVPR 2024 in the link below:

https://openaccess.thecvf.com/content/CVPR2024W/GCV/papers/Pham_Style_Transfer_for_2D_Talking_Head_Generation_CVPRW_2024_paper.pdf

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