lizhe00 / AnimatableGaussians

Code of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
https://animatable-gaussians.github.io/
Other
896 stars 59 forks source link

Driving any arbitrary action? #14

Open ck032 opened 6 months ago

ck032 commented 6 months ago

In the process of creating Avatar Animations, you may find that certain pose-driven animations deliver superior quality compared to others. For example, the "THuman4.0_POSE" may provide more convincing results than "MPI_mosh". How to improve the quality of driving any arbitrary action?

lizhe00 commented 6 months ago

More various poses in the training dataset.