39 citations · 40 across the 4 of their papers we have counts for
7 papers · 1 filter
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
While generative adversarial networks (GANs) can successfully produce high-quality images, they can be challenging to control. Simplifying GAN-based image generation is critical fo…
Interactive White Balancing for Camera-Rendered Images
Mahmoud Afifi, Michael S. Brown
White balance (WB) is one of the first photo-finishing steps used to render a captured image to its final output. WB is applied to remove the color cast caused by the scene's illum…
CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks
Mahmoud Afifi, Abdelrahman Abdelhamed, Abdullah Abuolaim +2
Cameras currently allow access to two image states: (i) a minimally processed linear raw-RGB image state (i.e., raw sensor data) or (ii) a highly-processed nonlinear image state (e…
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…
Deep White-Balance Editing
Mahmoud Afifi, Michael S. Brown
We introduce a deep learning approach to realistically edit an sRGB image's white balance. Cameras capture sensor images that are rendered by their integrated signal processor (ISP…
Sensor-Independent Illumination Estimation for DNN Models
Mahmoud Afifi, Michael S. Brown
While modern deep neural networks (DNNs) achieve state-of-the-art results for illuminant estimation, it is currently necessary to train a separate DNN for each type of camera senso…