Implementierung eines Hybrid Renderers in Rust unter Verwendung einer Forward+ Pipeline

Information

• Publication Type: Bachelor Thesis
• Workgroup(s)/Project(s):
  • Computergraphics Group
• Date: February 2025
• Date (Start): February 2024
• Date (End): February 2025
• Matrikelnummer: 12022518
• First Supervisor: Michael Wimmer

Abstract

In this thesis, we explore the topic of hybrid rendering, which combines rasterization and ray tracing to produce high-fidelity images. While rasterization has been the primary rendering technique for real-time applications for decades, it struggles with producing accurate lighting effects because of its nature of processing each primitive in isolation. Ray tracing has gained in popularity in recent years due to its ability to produce accurate lighting effects, which is one of the primary contributors to perceived visual fidelity. Achieving real-time performance with an entirely ray tracing-based renderer is challenging because of the high number of rays required to produce images. This has motivated the development of renderers that use rasterization as the primary rendering technique and ray tracing for producing lighting effects. The goal of this thesis is to showcase the usage of a forward+ pipeline to build a hybrid renderer utilizing the hardware acceleration of the graphics card for ray tracing tasks. To this end, we build a rendering engine that implements ray-traced hard shadows and explore methods that reduce the number of shadow rays. Shadow ray culling based on the angle of the surface normal with the ray direction and tile-based light culling are the two methods implemented in this work. The results have shown a performance uplift of 39% with the improvements presented in this thesis.

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BibTeX

@bachelorsthesis{elagabani-2025-ieh,
  title =      "Implementierung eines Hybrid Renderers in Rust unter
               Verwendung einer Forward+ Pipeline",
  author =     "Munir Yousif  Elagabani",
  year =       "2025",
  abstract =   "In this thesis, we explore the topic of hybrid rendering,
               which combines rasterization and ray tracing to produce
               high-fidelity images. While rasterization has been the
               primary rendering technique for real-time applications for
               decades, it struggles with producing accurate lighting
               effects because of its nature of processing each primitive
               in isolation. Ray tracing has gained in popularity in recent
               years due to its ability to produce accurate lighting
               effects, which is one of the primary contributors to
               perceived visual fidelity. Achieving real-time performance
               with an entirely ray tracing-based renderer is challenging
               because of the high number of rays required to produce
               images. This has motivated the development of renderers that
               use rasterization as the primary rendering technique and ray
               tracing for producing lighting effects. The goal of this
               thesis is to showcase the usage of a forward+ pipeline to
               build a hybrid renderer utilizing the hardware acceleration
               of the graphics card for ray tracing tasks. To this end, we
               build a rendering engine that implements ray-traced hard
               shadows and explore methods that reduce the number of shadow
               rays. Shadow ray culling based on the angle of the surface
               normal with the ray direction and tile-based light culling
               are the two methods implemented in this work. The results
               have shown a performance uplift of 39% with the improvements
               presented in this thesis.",
  month =      feb,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Research Unit of Computer Graphics, Institute of Visual
               Computing and Human-Centered Technology, Faculty of
               Informatics, TU Wien ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/",
}