2 papers
cs.LG2022
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…
cs.CV2021
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…