Graph

Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

Neural Deformation Graphs

Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
Aljaž Božič, Pablo Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner
CVPR 2021 (Oral Presentation)

reconstructions

This repository contains the code for the CVPR 2021 paper Neural Deformation Graphs, a novel approach for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects.

Specifically, we implicitly model a deformation graph via a deep neural network and empose per-frame viewpoint consistency as well as inter-frame graph and surface consistency constraints in a self-supervised fashion.

That results in a differentiable construction of a deformation graph that is able to handle deformations present in the whole sequence.

teaser

Install all dependencies