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https://github.com/nvidiagameworks/rtxgi
RTXGI v2.0 Update including Neural Radiance Cache and Spatial Hash Radiance Cache
https://github.com/nvidiagameworks/rtxgi
Last synced: 3 days ago
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RTXGI v2.0 Update including Neural Radiance Cache and Spatial Hash Radiance Cache
- Host: GitHub
- URL: https://github.com/nvidiagameworks/rtxgi
- Owner: NVIDIAGameWorks
- License: other
- Created: 2024-03-13T15:26:15.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-03-19T15:04:58.000Z (8 months ago)
- Last Synced: 2024-05-21T14:05:19.216Z (6 months ago)
- Language: CMake
- Homepage:
- Size: 17.1 MB
- Stars: 106
- Watchers: 20
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.md
Awesome Lists containing this project
README
# RTXGI
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_ |
|[/donut][donut] |_Framework used for the samples_ |
|[/external][external] |_Helper dependencies for the samples_ |
|[/media][media] |_Assets and scene definitions_ |
|[/samples][samples] |_Samples showcasing usage of NRC, SHaRC_ |
|[/sdk-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.
- [Change log][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 [email protected].
## 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 in a separate repo at the following url: 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
[donut]: donut
[external]: external
[media]: media
[samples]: samples/pathtracer
[libraries]: sdk-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/