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Found 8 papers, 2 papers with code
NPGA: Neural Parametric Gaussian Avatars
In contrast to previous work, we condition our avatars' dynamics on the rich expression space of neural parametric head models (NPHM), instead of mesh-based 3DMMs.
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
The decomposition of the parametric model and high-quality vertex displacements allows us to animate the model and modify it semantically.
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
We present Monocular Neural Parametric Head Models (MonoNPHM) for dynamic 3D head reconstructions from monocular RGB videos.
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
We introduce GaussianAvatars, a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint.
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
DiffusionAvatars synthesizes a high-fidelity 3D head avatar of a person, offering intuitive control over both pose and expression.
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads
We focus on reconstructing high-fidelity radiance fields of human heads, capturing their animations over time, and synthesizing re-renderings from novel viewpoints at arbitrary time steps.
Learning Neural Parametric Head Models
We propose a novel 3D morphable model for complete human heads based on hybrid neural fields.
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
This paper introduces Attentive Implicit Representation Networks (AIR-Nets), a simple, but highly effective architecture for 3D reconstruction from point clouds.
