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Found 6 papers, 1 papers with code
3D Gaussian Parametric Head Model
However, existing methods often struggle with modeling complex appearance details, e. g., hairstyles and accessories, and suffer from low rendering quality and efficiency.
Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups.
High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field
One crucial aspect of 3D head avatar reconstruction lies in the details of facial expressions.
LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar
Existing approaches to animatable NeRF-based head avatars are either built upon face templates or use the expression coefficients of templates as the driving signal.
AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels
AvatarMAV is the first to model both the canonical appearance and the decoupled expression motion by neural voxels for head avatar.
PIE-NET: Parametric Inference of Point Cloud Edges
We introduce an end-to-end learnable technique to robustly identify feature edges in 3D point cloud data.
