The light transport (LT) of a scene describes how it appears under different lighting
conditions from different viewing directions, and complete knowledge of a scene's LT …

We present a novel Relightable Neural Renderer (RNR) for simultaneous view synthesis
and relighting using multi-view image inputs. Existing neural rendering (NR) does not …

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 …

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 …

Recent research explosion on Neural Radiance Field (NeRF) shows the encouraging
potential to represent complex scenes with neural networks. One major drawback of NeRF is …

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

The goal of light transport acquisition is to take images from a sparse set of lighting and
viewing directions, and combine them to enable arbitrary relighting with changing view …

Decomposing a scene into its shape, reflectance and illumination is a fundamental problem
in computer vision and graphics. Neural approaches such as NeRF have achieved …

We present Neural Reflectance Fields, a novel deep scene representation that encodes
volume density, normal and reflectance properties at any 3D point in a scene using a fully …

We present an image-based relighting method that can synthesize scene appearance under
novel, distant illumination from the visible hemisphere, from only five images captured under …