5 papers across 3 sessions
We introduce a geometry-aware, equivariant neural field framework for solving Eikonal equations on arbitrary manifolds using steerable latent representations.
An efficient method for neural fields deformation based on local surface meshing.
We propose GLVD, a fast and accurate hybrid method for 3D face reconstruction that combines per-vertex neural fields with dynamically predicted 3D landmarks to achieve state-of-the-art quality from just one or a few images.