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Advances in path tracing techniques have allowed for the capture of lighting data from the environment, enabling the use of indirect illumination in real-time with both improved accuracy and speed. RTXGI SDK implements two such techniques, replacing traditional probe-based irradiance caching with a world-space radiance cache which can be used to sample outgoing radiance each time scene geometry is hit during path tracing.

These techniques may be combined with a regular path tracing pipeline for the primary rays, sampling cached data only for indirect bounce evaluation. By replacing the whole path trace with a single ray hit evaluation and cache lookup, the cost is reduced with little to no compromise in signal quality, while remaining responsive to change and supporting large-scale dynamic scenes with complex lighting setups.

RTXGI SDK provides an example integration (DX12 and Vulkan) of two state-of-the-art radiance caching techniques for path tracing - a (currently experimental) AI-based approach known as Neural Radiance Cache (NRC), and Spatially Hashed Radiance Cache (SHaRC). The former requires Tensor Cores while the latter has certain limitations but is currently supported on a wider range of hardware without any vendor-specific requirements. RTXGI SDK also hosts documentation and distribution corresponding to both of these techniques, seeProject Structure section for further details.

Any DXR GPU for SHaRC| NV GPUs ≥ Turing (arch 70) for NRC|CMake v3.24.3|Git LFS|Vulkan SDK 1.3.268.0|VS 2022| Windows SDK ≥ 10.0.20348.0| Driver ≥ 555.85

• Quick start guide for building and running the pathtracer example.
• NRC integration guide and theSHaRC integration guide respectively.
• Changelog for release information.

RTXGI SDK is actively being developed. Please report any issues directly through the GitHub issue tracker, and for any information or suggestions contact us atrtxgi-sdk-support@nvidia.com.

Use the following BibTex entry to cite the usage of RTXGI in published research:

@online{RTXGI,title   ={{{NVIDIA}}\textregistered{} {RTXGI}},author  ={{NVIDIA}},year    =2024,url     ={https://github.com/NVIDIAGameWorks/RTXGI},urldate ={2024-03-18},}

SeeLICENSE.md

Version v1.x of RTXGI which includes the DDGI algorithm is located athttps://github.com/NVIDIAGameWorks/RTXGI-DDGI.