Abstract Neural Radiance Fields (NeRFs) are emerging as a ubiquitous scene
representation that allows for novel view synthesis. Increasingly, NeRFs will be shareable …

Abstract Neural Radiance Fields (NeRFs) have achieved impressive results in novel view
synthesis and surface reconstruction tasks. However, their performance suffers under …

We present a method for estimating Neural Radiance Fields (NeRF) from a single headshot
portrait. While NeRF has demonstrated high-quality view synthesis, it requires multiple …

Training computer vision models usually requires collecting and labeling vast amounts of
imagery under a diverse set of scene configurations and properties. This process is …

In this work, we address the problem of action recognition in a multi-view environment. Most
of the existing approaches utilize pose information for multi-view action recognition. We …

This paper targets on learning-based novel view synthesis from a single or limited 2D
images without the pose supervision. In the viewer-centered coordinates, we construct an …

Depth Image based Rendering (DIBR) oriented view synthesis is an important virtual view
generation technique. It warps the reference view images to the target viewpoint based on …

In this paper the argument is made that for true novel view synthesis of objects, where the
object can be synthesized from any viewpoint, an explicit 3D shape representation …

Photo-realistic image synthesis is an attracting idea for person re-identification (ReID) and
data augmentation on human pose estimation. However, existing advances manipulating …

Abstract Novel View Synthesis (NVS) is concerned with synthesizing views under camera
viewpoint transformations from one or multiple input images. NVS requires explicit …