2025
TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
CVPR 2025poster
Decoupling from customized parametric templates represents a crucial step toward the creation of fully flexible, animatable articulated models. While existing template-free methods can achieve high-fidelity reconstruction in observed views, they struggle to recover plausible canonical models, result…