There is a growing demand for the accessible creation of high-quality 3D...
We present a one-shot method to infer and render a photorealistic 3D
rep...
We propose RANA, a relightable and articulated neural avatar for the
pho...
Given a portrait image of a person and an environment map of the target
...
We present a large-scale synthetic dataset for novel view synthesis
cons...
Acquisition and creation of digital human avatars is an important proble...
Unsupervised generation of high-quality multi-view-consistent images and...
We present HIPNet, a neural implicit pose network trained on multiple
su...
We present Neural Kernel Fields: a novel method for reconstructing impli...
We consider the challenging problem of predicting intrinsic object prope...
We propose a method to create plausible geometric and texture style
vari...
We propose a novel efficient and lightweight model for human pose estima...
We explore total scene capture -- recording, modeling, and rerendering a...
Motivated by augmented and virtual reality applications such as telepres...
This paper presents StereoNet, the first end-to-end deep architecture fo...
In this paper we present ActiveStereoNet, the first deep learning soluti...
Sparse representations have been successfully applied to signal processi...