14 citations · 18 across the 5 of their papers we have counts for
7 papers
MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning
Shuwei Li, Jikai Wang, Michael S. Brown +1
The assumption of a uniform light color distribution is no longer applicable in scenes that have multiple light colors. Most color constancy methods are designed to deal with a sin…
Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels
Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown
Portrait mode is widely available on smartphone cameras to provide an enhanced photographic experience. One of the primary effects applied to images captured in portrait mode is a…
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…
Neural Image Representations for Multi-Image Fusion and Layer Separation
Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown
We propose a framework for aligning and fusing multiple images into a single view using neural image representations (NIRs), also known as implicit or coordinate-based neural repre…
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…
Mobile Computational Photography: A Tour
Mauricio Delbracio, Damien Kelly, Michael S. Brown +1
The first mobile camera phone was sold only 20 years ago, when taking pictures with one's phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is…
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…