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HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting

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arxiv 2312.02902 v2 pith:UGPELA5D submitted 2023-12-05 cs.CV

Helisa Dhamo , Yinyu Nie , Arthur Moreau , Jifei Song , Richard Shaw , Yiren Zhou , Eduardo Pérez-Pellitero This is my paper · ORCID
classification cs.CV
keywords headheadgasreal-timerenderinganimationgaussianmodelaccelerating
verification ladder T0 review T1 audit T2 compute T3 formal
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3D head animation has seen major quality and runtime improvements over the last few years, particularly empowered by the advances in differentiable rendering and neural radiance fields. Real-time rendering is a highly desirable goal for real-world applications. We propose HeadGaS, a model that uses 3D Gaussian Splats (3DGS) for 3D head reconstruction and animation. In this paper we introduce a hybrid model that extends the explicit 3DGS representation with a base of learnable latent features, which can be linearly blended with low-dimensional parameters from parametric head models to obtain expression-dependent color and opacity values. We demonstrate that HeadGaS delivers state-of-the-art results in real-time inference frame rates, surpassing baselines by up to 2dB, while accelerating rendering speed by over x10.

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Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands

    cs.CV 2026-07 conditional novelty 7.0 of 10

    A 5D texture parameterization plus centerline-based canonical space and supervised diffusion enables generation and texture transfer of feature-rich hair strands independent of style.

  2. GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians

    cs.CV 2024-12 conditional novelty 7.0 of 10

    Head avatars are produced by graph-neural-network-generated 3D Gaussians, cutting model size to about 10 MB and improving reported image quality over prior Gaussian-splatting avatars.

  3. GaussianAvatar-Editor: Photorealistic Animatable Gaussian Head Avatar Editor

    cs.CV 2025-01 conditional novelty 5.0 of 10

    GaussianAvatar-Editor adds a visibility-weighted alpha blending term and a temporal adversarial loss to make text-driven edits of animatable Gaussian head avatars robust to motion occlusion and 4D inconsistency.

  4. Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospects

    cs.CV 2024-12 conditional novelty 4.0 of 10

    3D Gaussian Splatting research relevant to Extended Reality is organized into a five-part taxonomy with suggested future directions.

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