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DirectX Raytracing: A Path Tracer

A DXR path tracer with OptiX denoising. 5 months worth of research, trial & error as part of a project to learn and understand DirectX Raytracing & raytracing concepts.

  • Progressive Monte Carlo pathtracing
  • Native DirectX Raytracing
  • DXR Fallback Layer
  • OptiX deep-learning denoiser
  • Anti-aliasing with various sampling patterns
  • Reflection
  • Refraction
  • Material picking & editing
  • ImGui
Cornell Box Sample ImageCornell Box Sample Image

Performance

Specifications:

  • NVIDIA GeForce RTX 2080 Founders Edition (non-overclocked)
  • Intel Core i6-6600K at 4.1 GHz
  • 8 GB RAM at 2133 MHz
  • 256 GB NVMe M.2 Samsung SSD
  • All tests ran at 720p (1280 x 720)

Test case: Cornell Box (Release mode)

Bounces Frame Time
0 ~3.6ms
1 ~4.0ms
2 ~4.3ms
3 ~4.9ms
4 ~5.6ms
5 ~6.3ms
10 ~10ms
15 ~12.9ms

Test case: Crytek Sponza (Release mode)

Bounces Frame Time
0 ~5.1ms
1 ~6.3ms
2 ~8.4ms
3 ~10.0ms
4 ~11.4ms
5 ~13.6ms
10 ~22.7ms
15 ~31.8ms

Building the project

  1. Clone the project
  2. Download the project's dependencies from here!
  3. Run CMake on the project.
  4. Configure for Visual Studio 2017 x64.

Prerequisites to compile & run

  • Must be on Windows 10 October 2018 update (RS5 | v1809) or newer
  • Must have Windows 10 SDK version 10.0.17763.0 or newer (prefer using that exact version!)
  • To run native DXR: NVIDIA Turing or Volta GPU or newer.
  • To run fallback: Second generation Maxwell GPU or newer.
  • Visual Studio 2017 v15.8.6+.

About

A DXR path tracer with OptiX denoising. 5 months worth of research, trial & error as part of a project to learn and understand DirectX Raytracing & raytracing concepts.

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