GHARP: Real-time Gaussian Head Animation from Large-scale Reconstruction Prior

arXiv:2610.10945 · cs.CV, cs.LG · Submitted 2026-10-07 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Computer Vision and Pattern Recognition — 24× in this paper
• Alignment — 14× in this paper · explained in 1 episode
• Fidelity — 14× in this paper · explained in 2 episodes
• Latent Space — 10× in this paper · explained in 7 episodes
• Body Alignment Network — 9× in this paper
• Gaussian Splatting — 7× in this paper · explained in 4 episodes
• Regularization — 7× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• 3D Gaussian Splatting — 5× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 5× in this paper
• European Conference on Computer Vision — 5× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Decode — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Average Expression Distance — 2× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Temporal consistency — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Average Keypoint Distance — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Learned Perceptual Image Patch Similarity — 1× in this paper
• Peak Signal-to-Noise Ratio — 1× in this paper
• Point Clouds — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Temporal Consistency Error — 1× in this paper
• Two-Stage Training Strategy — 1× in this paper · explained in 3 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions
• GPAvatar: Generalizable and Precise Head Avatar from Image(s)
• LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
• Towards Fast, Accurate and Stable 3D Dense Face Alignment
• FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses
• FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads
• DINOv2: Learning Robust Visual Features without Supervision
• PrismAvatar: Real-time animated 3D neural head avatars on edge devices
• DINOv3
• VOODOO XP: Expressive One-Shot Head Reenactment for VR Telepresence
• Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis

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