Deep Radiance Caching: Convolutional Auto-encoders Deeper in Ray Tracing
(Formerly known as One Shot Radiance. Some parts of the website and code still refer to it as One Shot Radiance OSR)
Welcome to the pbrt-v3-DRC wiki.
Main GitHub project: https://github.com/giuliojiang/pbrt-v3-IILE
Docker files: https://github.com/giuliojiang/pbrt-v3-DRC-docker
Docker image: https://hub.docker.com/r/giuliojiang/drc
Deep Radiance Caching is an experimental rendering engine based on PBRTv3 that uses a neural network to predict indirect illumination, with full Global Illumination support, support for a wide range of materials, and no need for precomputation.
Deep Radiance Caching is capable of high performance Global Illumination with a very low noise level, and is a useful biased ray tracer for use cases that don’t require physically correct output, but need noise-free indirect illumination that looks convincing in most cases.
I have written a paper about the project, and I will add a link to it once its review process is completed and it is approved (hopefully!).
Naming Currently the project has references to old names IILE and OSR in the code. Renaming is work in progress. See issue tracker on GitHub: https://github.com/giuliojiang/pbrt-v3-IILE/issues/60
There are different ways to obtain PBRTv3-DRC:
0 - Demo run with Docker image
Demo for Deep Radiance Caching.
docker run -it -p 3000:3000 giuliojiang/drc:v0
- Automatically starts rendering Bathroom Green with default settings
- Outputs image into
- Leaves a webserver listening on http://localhost:3000 which allows to browse the filesystem and view the image in
- With the recommended run command, leaves a bash shell open that allows the user to further explore the system.
pbrt-v3-DRCcan be found in
/appand the example scene in
1 - Blender plugin with PBRTv3-DRC included
A blender installable package with all PBRT binaries included.
Tested on Ubuntu linux 64bit
2 - PBRTv3-DRC only
3 - PBRTv3 Blender Exporter Plugin only
Blender exporter only. Compatible with vanilla PBRT.
4 - From source
Info about the Deep Radiance Caching modification of PBRTv3 will be published once the paper is approved (expected for October 2018).