Not a bug, just a curiosity. Would it be possible to go into a bit more detail about how training data has been created for training OIDN? Something like the following which could be posted on the main website?
Scenes
OIDN 1.2: We used 110 different scenes, native to 3 different Path Tracing engines, to train our model: 40 from OSPRay, 50 from Arnold, 20 from Cycles
OIDN 1.0: We used 80 different scenes, native to 2 different Path Tracing engines, to train our model: 40 from OSPRay, 40 from Arnold
Ground Truth setup
We use 10000 samples as the ground-truth measurement for each scene
Test images
We use a wide range of samples per pixel (spp) values, from 1 to almost fully converged, to generate the test corpus
To be exact, the following 15 spp values are used for each scene to generate training data:
1, 2, 4, 10, 25, 50, 100, 200, 400, 500, 1000, 2000, 4000, 6000, 8000
To be clear, I'm not asking that the actual assets or images be posted etc. Just a more in depth, broad outline, of methodology with a version history perhaps?
Not a bug, just a curiosity. Would it be possible to go into a bit more detail about how training data has been created for training OIDN? Something like the following which could be posted on the main website?
To be clear, I'm not asking that the actual assets or images be posted etc. Just a more in depth, broad outline, of methodology with a version history perhaps?