# RTXGI **Repository Path**: rocket99/RTXGI ## Basic Information - **Project Name**: RTXGI - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-02-01 - **Last Updated**: 2026-02-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # RTXGI ![banner](Docs/figures/banner.png)
· Change Log · Quick Start · NRC Guide · SHaRC Guide ·

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, see [Project Structure][ProjectStructure] section for further details. ## Project structure |Directory |Details | |----------------------------|---------------------------------------------| |[/Docs][Docs] |_Documentation for showcased tech_ | |[/External][External] |_Helper dependencies for the samples_ | |[/Assets][Assets] |_Assets and scene definitions_ | |[/Samples][Samples] |_Samples showcasing usage of NRC, SHaRC_ | |[/Libraries][Libraries] |_Binaries, src, includes for NRC, SHaRC_ | ## Getting up and running ### Prerequisites Any DXR GPU for SHaRC **|** NV GPUs ≥ Turing (arch 70) for NRC **|** [CMake v3.24.3][CMake] **|** [Git LFS][LFS] **|** [Vulkan SDK 1.3.268.0][VKSDK] **|** [VS 2022][VS22] **|** Windows SDK ≥ 10.0.20348.0 **|** Driver ≥ 555.85 ### Further steps - [Quick start guide][QuickStart] for building and running the pathtracer example. - [NRC integration guide][NrcGuide] and the [SHaRC integration guide][SharcGuide] respectively. - [Changelog][ChangeLog] for release information. ## Contact RTXGI SDK is actively being developed. Please report any issues directly through the GitHub issue tracker, and for any information or suggestions contact us at rtxgi-sdk-support@nvidia.com. ## Citation Use the following BibTex entry to cite the usage of RTXGI in published research: ```bibtex @online{RTXGI, title = {{{NVIDIA}}\textregistered{} {RTXGI}}, author = {{NVIDIA}}, year = 2024, url = {https://github.com/NVIDIAGameWorks/RTXGI}, urldate = {2024-03-18}, } ``` ## License See [LICENSE.md](LICENSE.md) ## RTXGI v1.x Version v1.x of RTXGI which includes the DDGI algorithm is located at https://github.com/NVIDIAGameWorks/RTXGI-DDGI. [ChangeLog]: Changelog.md [QuickStart]: Docs/QuickStart.md [SharcGuide]: Docs/SharcGuide.md [NrcGuide]: Docs/NrcGuide.md [ProjectStructure]: #project-structure [Docs]: Docs [External]: External [Assets]: Assets [Samples]: Samples/Pathtracer [Libraries]: Libraries [CMake]: https://cmake.org/download/ [LFS]: https://git-lfs.com/ [VKSDK]: https://vulkan.lunarg.com/sdk/home#windows [VS22]: https://visualstudio.microsoft.com/vs/