Konversatorium on Friday, January 10, 2020 - 10:30

Slots for Talks still available! Please contact the KV administration.
Date: 
Friday, January 10, 2020 - 10:30
Location: 
Seminar room E186 (Favoritenstraße 9, Stiege 1, 5th floor)

Improving Real-Time Rendering Quality and Efficiency using Variable Rate Shading on Modern Hardware (DAEV)

Speaker: 
Stefan Stappen (Inst. 193-02 CG)
Duration: 
20 + 20
Responsible: 
Johannes Unterguggenberger

The aim of this master thesis is to research the possibilities of variable rate shading, a new hardware feature introduced with Nvidia Turing Graphic-Chips. In order to improve performance and quality of real-time graphics applications, this feature allows to control the sampling rate of tiles in the screen dynamically. For example, it enables algorithms for the variation of the sampling rate based on the scenes current content, called content adaptive shading, and the variation of the sampling rate based on the motion in the scene, called motion adaptive shading. In combination with an eye tracking device, it allows the adaption of the sampling rate based on foveal vision. As such, it enables the development of hardware accelerated foveated rendering. Another goal of this master thesis is to investigate the applicability to existing rendering techniques, like deferred shading. Therefore, the implemented techniques will be integrated into a deferred shading renderer. An evaluation of the performance gain and the perceived visual experience will conclude this master thesis.

Real-Time Ray Tracing in Quake III (DAAV)

Speaker: 
Lukas Lipp (Inst. 193-02 CG)
Duration: 
10 + 10
Responsible: 
Christian Freude

This work discusses the extension of the popular Quake III game engine using real-time ray-traced lighting effects. It investigates how the such effects can be implemented using the most recent graphics card generation by Nvidia that offers dedicated hardware support and acceleration via an new API that facilitates real-time rendering of ray traced effects. The performance and efficiency of this new hardware features is analysed by comparing it to conventional approaches.