PHOSA: Photorealistic 3D Sign Avatar Modeling and Benchmark

arXiv:2609.29292 · cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/open-mmlab/mmpose

Project page: https://naaapi.github.io/PHOSA

Terminology

Benchmark — 20× in this paper · explained in 2 episodes
Fidelity — 12× in this paper · explained in 2 episodes
Decoupling — 9× in this paper · explained in 2 episodes
Generalization — 7× in this paper · explained in 13 episodes
Actor — 6× in this paper · explained in 3 episodes
Ablation — 5× in this paper · explained in 1 episode
Ablation study — 5× in this paper · explained in 1 episode
Accuracy — 4× in this paper · explained in 1 episode
Consistency — 3× in this paper · explained in 3 episodes
Sign Language Production — 3× in this paper
Temporal consistency — 3× in this paper · explained in 2 episodes
Diffusion Model — 2× in this paper · explained in 8 episodes
Gaussian Splatting — 2× in this paper · explained in 4 episodes
Transformer — 2× in this paper · explained in 2 episodes
3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Composite Loss Function — 1× in this paper · explained in 2 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Distillation — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Multimodal Dataset — 1× in this paper · explained in 2 episodes
Neural Sign Actors — 1× in this paper
Regularization — 1× in this paper · explained in 3 episodes

Sources

Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos

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