Fresco++: Frequency-Guided and Canonical-Consistent Optimization for Fine-Grained Head Avatar Modeling

arXiv:2610.11412 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Consistency — 39× in this paper · explained in 3 episodes
• Fidelity — 16× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 11× in this paper
• Canonical Group Consensus — 8× in this paper
• Transferability — 8× in this paper · explained in 4 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Gaussian Splatting — 5× in this paper · explained in 4 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Computational overhead — 4× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 3× in this paper
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• 3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Embeddings — 1× in this paper · explained in 2 episodes

Sources

• NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
• Hybrid Explicit Representation for Ultra-Realistic Head Avatars
• EAvatar: Expression-Aware Head Avatar Reconstruction with Generative Geometry Priors
• PhysHead: Simulation-Ready Gaussian Head Avatars

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