Dnf dark energy storage

What are the components of DNF?

Our DNF contains three main components: 1) an RAW encoder and an RAW decoder that performs the denoising in the RAW domain with auxiliary supervision on the RAW image output, 2) gated fusion modules (GFMs) that handle the feedback features, and 3) an sRGB decoder that performs color space transformation and outputs the final result. 2.2.

What is a DNF framework?

framework, viated as DNF. specific subtasks are decoupled, along with the unique properties in RAW and sRGB domains. ture propagation across stages with a feedback mechanism avoids the information loss caused by image-level dataflow.

Which llie datasets should we benchmark our proposed DNF?

We have benchmarked our proposed DNF on two dif-ferent RAW-based LLIE datasets, i.e. the See-In-the-Dark (SID) dataset and Mono-Colored Raw Paired (MCR) dataset.