51 citations · 97 across the 12 of their papers we have counts for
9 papers · 1 filter
Auto White-Balance Correction for Mixed-Illuminant Scenes
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
Auto white balance (AWB) is applied by camera hardware at capture time to remove the color cast caused by the scene illumination. The vast majority of white-balance algorithms assu…
Zero-shot Learning with Class Description Regularization
Shayan Kousha, Marcus A. Brubaker
The purpose of generative Zero-shot learning (ZSL) is to learning from seen classes, transfer the learned knowledge, and create samples of unseen classes from the description of th…
CAMS: Color-Aware Multi-Style Transfer
Mahmoud Afifi, Abdullah Abuolaim, Mostafa Hussien +2
Image style transfer aims to manipulate the appearance of a source image, or "content" image, to share similar texture and colors of a target "style" image. Ideally, the style tran…
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…
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker
Normalizing flows are a class of probabilistic generative models which allow for both fast density computation and efficient sampling and are effective at modelling complex distrib…
Noise Flow: Noise Modeling with Conditional Normalizing Flows
Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown
Modeling and synthesizing image noise is an important aspect in many computer vision applications. The long-standing additive white Gaussian and heteroscedastic (signal-dependent)…