We investigate the capabilities of neural inverse procedural modeling to...
Despite the impressive progress of telepresence systems for room-scale s...
Extracting high-level structural information from 3D point clouds is
cha...
We introduce canonical weight normalization for convolutional neural
net...
We present incomplete gamma kernels, a generalization of Locally Optimal...
Partial Differential Equations (PDEs) are notoriously difficult to solve...
VR/AR technology is a key enabler for new ways of immersively experienci...
Physically plausible fluid simulations play an important role in modern
...
Fast and stable fluid simulations are an essential prerequisite for
appl...
The key prerequisite for accessing the huge potential of current machine...
Wasserstein-GANs have been introduced to address the deficiencies of
gen...
Sharing live telepresence experiences for teleconferencing or remote
col...
Applications like disaster management and industrial inspection often re...
We present a novel method for reconstructing parametric, volumetric,
mul...
Orienting surface normals correctly and consistently is a fundamental pr...
Real-time 3D scene reconstruction from RGB-D sensor data, as well as the...
We present a visual analytics system for exploring group differences in
...
Estimating depth from a single RGB image is an ill-posed and inherently
...
We consider the problem of establishing dense correspondences within a s...