The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

We address the problem of recovering the shape and spatially-varying reflectance of an
object from multi-view images (and their camera poses) of an object illuminated by one …

Low-light image enhancement methods based on classic Retinex model attempt to
manipulate the estimated illumination and to project it back to the corresponding reflectance …

Intrinsic image decomposition separates an image into a reflectance layer and a shading
layer. Automatic intrinsic image decomposition remains a significant challenge, particularly …

Given a set of images of a scene, the re-rendering of this scene from novel views and
lighting conditions is an important and challenging problem in Computer Vision and …

We present a global optimization approach for map** color images onto geometric
reconstructions. Range and color videos produced by consumer-grade RGB-D cameras …

We present a model for intrinsic decomposition of RGB-D images. Our approach analyzes a
single RGB-D image and estimates albedo and shading fields that explain the input. To …

Reconstructing the shape of an object from images is an important problem in computer
vision that has led to a variety of solution strategies. This survey covers photometric stereo …

Manipulated images lose believability if the user's edits fail to account for shadows. We
propose a method that makes removal and editing of soft shadows easy. Soft shadows are …

We present a method for jointly predicting a depth map and intrinsic images from single-
image input. The two tasks are formulated in a synergistic manner through a joint conditional …