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![]() Title:GSFaceMorpher: High-Fidelity 3D Face Morphing via Gaussian Splatting Conference:CASA 2025 Tags:3d gaussian splatting, computer animation and face morphing Abstract: High-fidelity 3D face morphing aims to achieve seamless transitions between realistic 3D facial representations of different identities. While 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 \oursmethodname, 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 geometry through Radial Basis Function (RBF) warping and optimizing appearance in image space. This auxiliary model enables smooth parameter interpolation, while a diffusion-based refinement step enhances critical facial details through attention replacement from reference faces. Experiments demonstrate that our method produces visually coherent and high-fidelity morphing sequences, significantly outperforming NeRF-based baselines in both quantitative metrics and user preference. Our work establishes a new benchmark for high-fidelity 3D face morphing, with applications in visual effects, animation, and immersive experiences. GSFaceMorpher: High-Fidelity 3D Face Morphing via Gaussian Splatting ![]() GSFaceMorpher: High-Fidelity 3D Face Morphing via Gaussian Splatting | ||||
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