Deformable Neural Radiance Fields

by   Keunhong Park, et al.

We present the first method capable of photorealistically reconstructing a non-rigidly deforming scene using photos/videos captured casually from mobile phones. Our approach – D-NeRF – augments neural radiance fields (NeRF) by optimizing an additional continuous volumetric deformation field that warps each observed point into a canonical 5D NeRF. We observe that these NeRF-like deformation fields are prone to local minima, and propose a coarse-to-fine optimization method for coordinate-based models that allows for more robust optimization. By adapting principles from geometry processing and physical simulation to NeRF-like models, we propose an elastic regularization of the deformation field that further improves robustness. We show that D-NeRF can turn casually captured selfie photos/videos into deformable NeRF models that allow for photorealistic renderings of the subject from arbitrary viewpoints, which we dub "nerfies." We evaluate our method by collecting data using a rig with two mobile phones that take time-synchronized photos, yielding train/validation images of the same pose at different viewpoints. We show that our method faithfully reconstructs non-rigidly deforming scenes and reproduces unseen views with high fidelity.



There are no comments yet.


page 1

page 4

page 5

page 6

page 7

page 9

page 10


HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

Neural Radiance Fields (NeRF) are able to reconstruct scenes with unprec...

Animatable Neural Radiance Fields for Human Body Modeling

This paper addresses the challenge of reconstructing an animatable human...

BANMo: Building Animatable 3D Neural Models from Many Casual Videos

Prior work for articulated 3D shape reconstruction often relies on speci...

Direct and Sparse Deformable Tracking

Deformable Monocular SLAM algorithms recover the localization of a camer...

Functional Characterization of Deformation Fields

In this paper we present a novel representation for deformation fields o...

Virtual Elastic Objects

We present Virtual Elastic Objects (VEOs): virtual objects that not only...

Active Animations of Reduced Deformable Models with Environment Interactions

We present an efficient spacetime optimization method to automatically g...

Code Repositories


This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

view repo
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.