A Generative Model for Digital Camera Noise Synthesis

arXiv:2303.09199v3 Announce Type: replace
Abstract: Noise synthesis is a challenging low-level vision task aiming to generate realistic noise given a clean image along with the camera settings. To this end, we propose an effective generative model which utilizes clean features as guidance followed by noise injections into the network. Specifically, our generator follows a UNet-like structure with skip connections but without downsampling and upsampling layers. Firstly, we extract deep features from a clean image as the guidance and concatenate a …

abstract arxiv cs.cv digital eess.iv features generate generative generator guidance image low network noise replace synthesis type vision