Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

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 …

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 …

Photorealistic editing of outdoor scenes from photographs requires a profound
understanding of the image formation process and an accurate estimation of the scene …

Compositing an image usually inevitably suffers from inharmony problem that is mainly
caused by incompatibility of foreground and background from two different images with …

Recent work has demonstrated that volumetric scene representations combined with
differentiable volume rendering can enable photo-realistic rendering for challenging scenes …

We present a deep learning approach to reconstruct scene appearance from unstructured
images captured under collocated point lighting. At the heart of Deep Reflectance Volumes …

We present a method for composing photorealistic scenes from captured images of objects.
Our work builds upon neural radiance fields (NeRFs), which implicitly model the volumetric …

We suggest to represent an X-Field---a set of 2D images taken across different view, time or
illumination conditions, ie, video, lightfield, reflectance fields or combinations thereof---by …

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 …