Conventionally, interior lighting design is technically complex yet challenging and requires
professional knowledge and aesthetic disciplines of designers. This article presents a new …

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 a method to estimate lighting from a single image of an indoor scene. Previous
work has used an environment map representation that does not account for the localized …

As the number of models for 3D indoor scenes are increasing rapidly, methods for
generating the lighting layout have also become increasingly important. This paper presents …

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

We propose a physically motivated deep learning framework to solve a general version of
the challenging indoor lighting estimation problem. Given a single LDR image with a depth …

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 …

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 …

Recent advances in implicit neural representation have demonstrated the ability to recover
detailed geometry and material from multi-view images. However, the use of simplified …

A 3D digital scene contains many components: lights, materials and geometries, interacting
to reach the desired appearance. Staging such a scene is time-consuming and requires …