Neural Radiance Field (NeRF) approaches learn the underlying 3D
represen...
Advances in neural fields are enabling high-fidelity capture of the shap...
We present SAFF: a dynamic neural volume reconstruction of a casual mono...
Humans universally dislike the task of cleaning up a messy room. If mach...
Coordinate-based implicit neural networks, or neural fields, have emerge...
Language is one of the primary means by which we describe the 3D world a...
We present ShapeCrafter, a neural network for recursive text-conditioned...
3D models of manufactured objects are important for populating virtual w...
In visual computing, 3D geometry is represented in many different forms
...
Progress in 3D object understanding has relied on manually canonicalized...
The shape of many objects in the built environment is dictated by their
...
Recent advances in machine learning have created increasing interest in
...
We present StrobeNet, a method for category-level 3D reconstruction of
a...
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of tem...
We present DRACO, a method for Dense Reconstruction And Canonicalization...
We investigate the problem of learning to generate 3D parametric surface...
We propose CaSPR, a method to learn object-centric canonical spatiotempo...
We seek to learn a representation on a large annotated data source that
...
The majority of descriptor-based methods for geometric processing of
non...
Machines that can predict the effect of physical interactions on the dyn...
We investigate the problem of learning category-specific 3D surface shap...
The goal of this paper is to estimate the 6D pose and dimensions of unse...
Humans have a remarkable ability to predict the effect of physical
inter...
We propose a new efficient single-shot method for multi-person 3D pose
e...
We address the highly challenging problem of real-time 3D hand tracking ...
We present the first real-time method to capture the full global 3D skel...
We present an approach for real-time, robust and accurate hand pose
esti...
Real-time simultaneous tracking of hands manipulating and interacting wi...
Markerless tracking of hands and fingers is a promising enabler for
huma...
Real-time marker-less hand tracking is of increasing importance in
human...