HPG Student Competition 2025: Percentile-based Adaptive SVGF
We describe the algorithm currently used to denoise our Quake path-tracing demo, Merian-Quake, which won first place at the 2025 High-Performance Graphics (HPG) Student Competition.
We describe the algorithm currently used to denoise our Quake path-tracing demo, Merian-Quake, which won first place at the 2025 High-Performance Graphics (HPG) Student Competition.
We present a lightweight and unbiased path guiding algorithm tailored for real-time applications with highly dynamic content. The algorithm demonstrates effectiveness in guiding both direct and indirect illumination. Moreover, it can be extended to guide single scattering events in participating media.
This research paper presents a case study on the migration from Jenkins to GitHub Actions for automated builds in the development workflow for Palladio.
We introduce a novel Voronoi-based cost-aware adaptive sampling algorithm for global metamodeling that is independent of the choice of sampling strategy and metamodel. The method is evaluated on a variety of randomly generated black-box and cost functions, where it has shown to vastly outperform existing sampling strategies.