Mix3R mixes feed-forward reconstruction and generative 3D priors via Mixture-of-Transformers and overlap-based attention bias to achieve better-aligned 3D shapes and more accurate poses than either approach alone.
Srinivasan, Matthew Tancik, Jonathan T
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UIKA is a feed-forward animatable Gaussian head model using UV-guided correspondence estimation and learnable UV tokens with dual-level attention, trained on large-scale synthetic data to handle pose-free inputs.
A Dual-UV mapping combined with factorized synthetic data enables animatable 3D avatar reconstruction from one portrait, achieving strong head and upper-body results when trained only on half-body synthetic data.
citing papers explorer
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Mix3R: Mixing Feed-forward Reconstruction and Generative 3D Priors for Joint Multi-view Aligned 3D Reconstruction and Pose Estimation
Mix3R mixes feed-forward reconstruction and generative 3D priors via Mixture-of-Transformers and overlap-based attention bias to achieve better-aligned 3D shapes and more accurate poses than either approach alone.
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UIKA: Fast Universal Head Avatar from Pose-Free Images
UIKA is a feed-forward animatable Gaussian head model using UV-guided correspondence estimation and learnable UV tokens with dual-level attention, trained on large-scale synthetic data to handle pose-free inputs.
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Bringing Your Portrait to 3D Presence
A Dual-UV mapping combined with factorized synthetic data enables animatable 3D avatar reconstruction from one portrait, achieving strong head and upper-body results when trained only on half-body synthetic data.