A conditioning-guided constrained inversion method restricts avatar edits to a low-dimensional part-specific subspace and uses an information matrix spectrum from pipeline linearization to predict and ensure stability under sparse supervision.
Gauhuman: Articulated gaussian splatting from monocular human videos
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A 3D-prior-guided diffusion model for one-shot novel view and pose human image synthesis that claims to outperform prior 2D-pose and NeRF-based methods.
SAGE self-learns Gaussian expression deformations via joint surfel-SDF optimization and self-supervised consistency, enabling comparable avatar quality from single frames, monocular rotations, or one-shot inputs.
citing papers explorer
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Information-Regularized Constrained Inversion for Stable Avatar Editing from Sparse Supervision
A conditioning-guided constrained inversion method restricts avatar edits to a low-dimensional part-specific subspace and uses an information matrix spectrum from pipeline linearization to predict and ensure stability under sparse supervision.
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One-Shot Novel View and Pose Human Image Synthesis via 3D Prior Guided Diffusion Model
A 3D-prior-guided diffusion model for one-shot novel view and pose human image synthesis that claims to outperform prior 2D-pose and NeRF-based methods.
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Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars
SAGE self-learns Gaussian expression deformations via joint surfel-SDF optimization and self-supervised consistency, enabling comparable avatar quality from single frames, monocular rotations, or one-shot inputs.