LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

Understand

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.

• Despite the promising progress, their performances are heavily bound by the expression power and the tracking accuracy of the templates.
• In this work, we present LatentAvatar, an expressive neural head avatar driven by latent expression codes.
• Such latent expression codes are learned in an end-to-end and self-supervised manner without templates, enabling our method to get rid of expression and tracking issues.