Different outdoor illumination conditions drastically alter the appearance of urban scenes,
and they can harm the performance of image-based robot perception systems if not seen …

We present a method to edit complex indoor lighting from a single image with its predicted
depth and light source segmentation masks. This is an extremely challenging problem that …

We present deferred neural lighting, a novel method for free-viewpoint relighting from
unstructured photographs of a scene captured with handheld devices. Our method …

We consider the challenging problem of outdoor lighting estimation for the goal of
photorealistic virtual object insertion into photographs. Existing works on outdoor lighting …

Humans have the remarkable ability to construct consistent mental models of an
environment, even under limited or varying levels of illumination. We wish to endow robots …

This paper addresses the task of estimating the light arriving from all directions to a 3D point
observed at a selected pixel in an RGB image. This task is challenging because it requires …

We introduce a neural relighting algorithm for captured indoors scenes, that allows
interactive free-viewpoint navigation. Our method allows illumination to be changed …

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 …

Changing the illumination of an outdoor image is a notoriously difficult problem that requires
the lighting to be modified consistently across the image, and shadows to be removed and …

We present a method that takes as input a set of images of a scene illuminated by
unconstrained known lighting, and produces as output a 3D representation that can be …