… that encourage simpler solutions by exploring the role of positional encoding and view-dependent
radiance in training the few-shot NeRF. The depth estimated by these simpler models …

With the advent of Neural Radiance Fields (NeRF), neural networks can now render novel
views of a 3D scene with quality that fools the human eye. Yet, generating these images is …

… vanilla radiance fields suffer from various distortions. Regularizing the radiance fields with
simpler solutions leads to significantly better reconstructions with all the three radiance fields. …

… We propose a simple yet effective solution that separately … opacity field σ representing a soft
shape, along with a radiance field c … (MLPs); the opacity field is computed as a function of 3D …

… solution to this problem is simple and effective. First, we initialize the density voxel grid to
yield opacities very close to zero everywhere to avoid the geometry solutions … of radiance field …

… We represent a 3D scene as a composition of simple radiance fields, which only models
object appearances and entangles their physical properties that may be crucial to downstream …

… Neural Radiance Fields (NeRF) has achieved … However, NeRF's view dependency can only
handle simple … two components with separate neural radiance fields. Considering that this …

… radiance fields (NeRF) by optimizing an additional continuous volumetric deformation field
… We observe that these NeRF-like deformation fields are prone to local minima, and propose …

… the radiance field close to surfaces into separate far- and near-field components that can be
… variation, and our near-field scheme employs an aggressively simple visibility heuristic. For …

… Despite the rapid development of Neural Radiance Field (NeRF), the necessity of dense …
or on simple objects/scenes. In this work, we consider a more ambitious task: training neural …