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GSFaceMorpher: High‐Fidelity 3D Face Morphing via Gaussian Splatting.

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Title: GSFaceMorpher: High‐Fidelity 3D Face Morphing via Gaussian Splatting.
Authors: Shi, Xiwen1 (AUTHOR), Zhao, Hao2 (AUTHOR), Jiang, Yi3 (AUTHOR), Xu, Hao3 (AUTHOR), Yang, Ziyi3 (AUTHOR), Wu, Yiqian3 (AUTHOR), Wu, Qingbiao1 (AUTHOR) qbwu@zju.edu.cn, Jin, Xiaogang3 (AUTHOR) jin@cad.zju.edu.cn
Source: Computer Animation & Virtual Worlds. May/Jun2025, Vol. 36 Issue 3, p1-12. 12p.
Subjects: Morphing (Computer animation), Radial basis functions, Image enhancement (Imaging systems), Computer-generated imagery
Abstract: High‐fidelity 3D face morphing aims to achieve seamless transitions between realistic 3D facial representations of different identities. Although 3D Gaussian Splatting (3DGS) excels in high‐quality rendering, its application to morphing is hindered by the lack of Gaussian primitive correspondence and variations in primitive quantities. To address this, we propose GSFaceMorpher, which is a novel framework for high‐fidelity 3D face morphing based on 3DGS. Our method constructs an auxiliary model that bridges the source and target face models by aligning the geometry through Radial Basis Function (RBF) warping and optimizing the appearance in the image space. This auxiliary model enables smooth parameter interpolation, whereas a diffusion‐based refinement step enhances critical facial details through attention replacement from the reference faces. Experiments demonstrate that our method produces visually coherent and high‐fidelity morphing sequences, significantly outperforming NeRF‐based baselines in terms of both quantitative metrics and user preferences. Our work establishes a new benchmark for high‐fidelity 3D face morphing with applications in visual effects, animation, and immersive experiences. [ABSTRACT FROM AUTHOR]
Copyright of Computer Animation & Virtual Worlds is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: GSFaceMorpher: High‐Fidelity 3D Face Morphing via Gaussian Splatting.
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  Data: <searchLink fieldCode="AR" term="%22Shi%2C+Xiwen%22">Shi, Xiwen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Hao%22">Zhao, Hao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Yi%22">Jiang, Yi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Hao%22">Xu, Hao</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Ziyi%22">Yang, Ziyi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Yiqian%22">Wu, Yiqian</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Qingbiao%22">Wu, Qingbiao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> qbwu@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jin%2C+Xiaogang%22">Jin, Xiaogang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jin@cad.zju.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Animation+%26+Virtual+Worlds%22">Computer Animation & Virtual Worlds</searchLink>. May/Jun2025, Vol. 36 Issue 3, p1-12. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Morphing+%28Computer+animation%29%22">Morphing (Computer animation)</searchLink><br /><searchLink fieldCode="DE" term="%22Radial+basis+functions%22">Radial basis functions</searchLink><br /><searchLink fieldCode="DE" term="%22Image+enhancement+%28Imaging+systems%29%22">Image enhancement (Imaging systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-generated+imagery%22">Computer-generated imagery</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: High‐fidelity 3D face morphing aims to achieve seamless transitions between realistic 3D facial representations of different identities. Although 3D Gaussian Splatting (3DGS) excels in high‐quality rendering, its application to morphing is hindered by the lack of Gaussian primitive correspondence and variations in primitive quantities. To address this, we propose GSFaceMorpher, which is a novel framework for high‐fidelity 3D face morphing based on 3DGS. Our method constructs an auxiliary model that bridges the source and target face models by aligning the geometry through Radial Basis Function (RBF) warping and optimizing the appearance in the image space. This auxiliary model enables smooth parameter interpolation, whereas a diffusion‐based refinement step enhances critical facial details through attention replacement from the reference faces. Experiments demonstrate that our method produces visually coherent and high‐fidelity morphing sequences, significantly outperforming NeRF‐based baselines in terms of both quantitative metrics and user preferences. Our work establishes a new benchmark for high‐fidelity 3D face morphing with applications in visual effects, animation, and immersive experiences. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Computer Animation & Virtual Worlds is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/cav.70036
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        Text: English
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        Type: general
      – SubjectFull: Radial basis functions
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      – SubjectFull: Image enhancement (Imaging systems)
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      – TitleFull: GSFaceMorpher: High‐Fidelity 3D Face Morphing via Gaussian Splatting.
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              M: 05
              Text: May/Jun2025
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              Y: 2025
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