PiG-Avatar decouples Gaussian avatar geometry from body-template surfaces by anchoring Gaussians in a neural-field-governed volumetric canonical space and using barycentric transport for kinematics, yielding SOTA rendering on complex-clothing benchmarks.
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DreamGaussian creates high-quality textured 3D meshes from single-view images in 2 minutes via generative Gaussian Splatting with mesh extraction and UV refinement.
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PiG-Avatar: Hierarchical Neural-Field-Guided Gaussian Avatars
PiG-Avatar decouples Gaussian avatar geometry from body-template surfaces by anchoring Gaussians in a neural-field-governed volumetric canonical space and using barycentric transport for kinematics, yielding SOTA rendering on complex-clothing benchmarks.
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DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
DreamGaussian creates high-quality textured 3D meshes from single-view images in 2 minutes via generative Gaussian Splatting with mesh extraction and UV refinement.