Demo application showcasing multiple ray tracing denoiser implementations, based on the Foray Library

Implemented Denoisers

OptiX (2017)

Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder

Chakravarty R. Alla Chaitanya (NVIDIA), Anton Kaplanyan (NVIDIA), Christoph Schied, Marco Salvi, Aaron Lefohn ,Derek Nowrouzezahrai (McGill University), Timo Aila

NOTE: Currently semaphore handle export on windows is broken. Works on linux. NOTE: Requires OptiX header directory configured in CMakeCache and CUDA Toolkit

Links

• Paper
• OptiX SDK Download

A-SVGF (2018)

Gradient Estimation for Real-Time Adaptive Temporal Filtering

Christoph Schied, Christoph Peters, and Carsten Dachsbacher, Karlsruhe Institute of Technology, Germany

Links

• Paper
• Example Implementation

Setup

git clone --recursive https://github.com/Vulkemp/foray-denoising

For OptiX

By default, OptiX is disabled due to further dependencies on Cuda and OptiX headers.

• Set ENABLE_OPTIX option in CMake Cache
• Follow further instructions in denoisers/foray-denoiser-optix/setupcuda.md