2 papers
cs.GR2025
Neural Visibility Cache for Real-Time Light Sampling
Jakub Bokšanský, Daniel Meister
Direct illumination with many lights is an inherent component of physically-based rendering, remaining challenging, especially in real-time scenarios. We propose an online-trained…
cs.GR2025
GATE: Geometry-Aware Trained Encoding
Jakub Bokšanský, Daniel Meister, Carsten Benthin
The encoding of input parameters is one of the fundamental building blocks of neural network algorithms. Its goal is to map the input data to a higher-dimensional space, typically…