MVCHead uses a hierarchical state space model with bi-directional scans and an SE(3) critic to enforce 3D consistency in Gaussian avatars trained only on 2D images.
Cgs-gan: 3d consistent gaus- sian splatting gans for high resolution human head synthesis
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
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cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
COSY uses independent per-component 3DGS generators plus context tokens to achieve disentangled semantic editing of human heads without masks or classifiers.
SplitAvatar applies an autoregressive graph splitting network with mesh topology extension and gated density control to generate detailed one-shot head avatars via 3D Gaussian Splatting.
citing papers explorer
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Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation
MVCHead uses a hierarchical state space model with bi-directional scans and an SE(3) critic to enforce 3D consistency in Gaussian avatars trained only on 2D images.
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COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing
COSY uses independent per-component 3DGS generators plus context tokens to achieve disentangled semantic editing of human heads without masks or classifiers.
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SplitAvatar: One-shot Head Avatar with Autoregressive Gaussian Splitting
SplitAvatar applies an autoregressive graph splitting network with mesh topology extension and gated density control to generate detailed one-shot head avatars via 3D Gaussian Splatting.