GEM - Gaussian Eigen Models for Human Heads
We present personalized Gaussian Eigen Models (GEMs) for human heads, a novel method that compresses dynamic 3D Gaussians into a low-dimensional linear space. Our approach is inspired by the seminal work of Blanz and Vetter, where a mesh-based 3D morphable model (3DMM) is constructed from registered meshes. Based on dynamic...
2024, Mar 19 — 5 minute read