This is trained on monte carlo based rendering noise, and optionally uses additional available rendering data like albedo and normal passes. So while the idea o

This is trained on monte carlo based rendering noise, and optionally uses additional available rendering data like albedo and normal passes. So while the idea of using deep learning for noise reduction in general works, this codebase in particular isn't suitable for that task. One issue is also building large enough training data set for clean vs noisy images. Approaches like https://arxiv.org/abs/1803.04189 https://arxiv.org/abs/1803.04189 try to work around that Other approaches (like Google's pixel cameras and astrophotography) additionally take high speed burst photos and average pixels to reduce noise, this can be used together with deep learning based noise reduction (or other noise reduction techniques) for better results