HeadsUp maps multi-view captures to UV-parameterized 3D Gaussians on a template via an encoder-decoder, achieving state-of-the-art quality and generalization after training on more than 10,000 subjects.
Psavatar: A point-based shape model for real- time head avatar animation with 3d gaussian splatting
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A single transformer model jointly predicts depth and normalized canonical coordinates to deliver state-of-the-art 4D facial geometry and tracking with 3x lower correspondence error and 16% better depth accuracy.
VRGaussianAvatar enables real-time full-body 3D Gaussian Splatting avatars in VR from HMD tracking alone via inverse kinematics and binocular batching for efficient stereo rendering, outperforming mesh baselines in performance and user ratings.
F3G-Avatar improves full-body Gaussian avatars by adding a dedicated face-focused deformation branch to better preserve facial geometry and expressions from multi-view RGB video.
citing papers explorer
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Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures
HeadsUp maps multi-view captures to UV-parameterized 3D Gaussians on a template via an encoder-decoder, achieving state-of-the-art quality and generalization after training on more than 10,000 subjects.
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Face Anything: 4D Face Reconstruction from Any Image Sequence
A single transformer model jointly predicts depth and normalized canonical coordinates to deliver state-of-the-art 4D facial geometry and tracking with 3x lower correspondence error and 16% better depth accuracy.
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F3G-Avatar : Face Focused Full-body Gaussian Avatar
F3G-Avatar improves full-body Gaussian avatars by adding a dedicated face-focused deformation branch to better preserve facial geometry and expressions from multi-view RGB video.