263 citations · 278 across the 10 of their papers we have counts for
12 papers
Analyzing the Internals of Neural Radiance Fields
Lukas Radl, Andreas Kurz, Michael Steiner +1
Modern Neural Radiance Fields (NeRFs) learn a mapping from position to volumetric density leveraging proposal network samplers. In contrast to the coarse-to-fine sampling approach…
Gradient-based Weight Density Balancing for Robust Dynamic Sparse Training
Mathias Parger, Alexander Ertl, Paul Eibensteiner +3
Training a sparse neural network from scratch requires optimizing connections at the same time as the weights themselves. Typically, the weights are redistributed after a predefine…
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos
Mathias Parger, Chengcheng Tang, Thomas Neff +4
Convolutional neural network inference on video input is computationally expensive and requires high memory bandwidth. Recently, DeltaCNN managed to reduce the cost by only process…
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields
Andreas Kurz, Thomas Neff, Zhaoyang Lv +2
Novel view synthesis has recently been revolutionized by learning neural radiance fields directly from sparse observations. However, rendering images with this new paradigm is slow…
DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
Mathias Parger, Chengcheng Tang, Christopher D. Twigg +3
Convolutional neural network inference on video data requires powerful hardware for real-time processing. Given the inherent coherence across consecutive frames, large parts of a v…
A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces
Alexander Weinrauch, Hans-Peter Seidel, Daniel Mlakar +2
The humble loop shrinking property played a central role in the inception of modern topology but it has been eclipsed by more abstract algebraic formalism. This is particularly tru…
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
Thomas Neff, Pascal Stadlbauer, Mathias Parger +5
The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high-quality scene and lighting inf…
UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality
Mathias Parger, Chengcheng Tang, Yuanlu Xu +5
Tracking body and hand motions in the 3D space is essential for social and self-presence in augmented and virtual environments. Unlike the popular 3D pose estimation setting, the p…
AlSub: Fully Parallel and Modular Subdivision
Daniel Mlakar, Martin Winter, Hans-Peter Seidel +2
In recent years, mesh subdivision---the process of forging smooth free-form surfaces from coarse polygonal meshes---has become an indispensable production instrument. Although subd…
On-the-fly Vertex Reuse for Massively-Parallel Software Geometry Processing
Michael Kenzel, Bernhard Kerbl, Wolfgang Tatzgern +3
Compute-mode rendering is becoming more and more attractive for non-standard rendering applications, due to the high flexibility of compute-mode execution. These newly designed pip…
Layered Fields for Natural Tessellations on Surfaces
Rhaleb Zayer, Daniel Mlakar, Markus Steinberger +1
Mimicking natural tessellation patterns is a fascinating multi-disciplinary problem. Geometric methods aiming at reproducing such partitions on surface meshes are commonly based on…
Electronic Mathematics Journals
Mark Steinberger
In the Forum section of the November, 1993 Notices of the American Mathematical Society, John Franks discussed the electronic journal of the future. Since then, the New York Journa…