Colorful Diffuse Intrinsic Image Decomposition in the Wild
Authors: name: Chris Careaga, name: Yağız Aksoy

Intrinsic image decomposition aims to separate the surface reflectance and
the effects from the illumination given a single photograph. Due to the
complexity of the problem, most prior works assume a single-color illumination
and a Lambertian world, which limits their use in illumination-aware image
editing applications. In this work, we separate an input image into its diffuse
albedo, colorful diffuse shading, and specular residual components. We arrive
at our result by gradually removing first the single-color illumination and
then the Lambertian-world assumptions. We show that by dividing the problem
into easier sub-problems, in-the-wild colorful diffuse shading estimation can
be achieved despite the limited ground-truth datasets. Our extended intrinsic
model enables illumination-aware analysis of photographs and can be used for
image editing applications such as specularity removal and per-pixel white
balancing.