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

Neural Radiance Fields (NeRF) are able to reconstruct scenes with unprecedented fidelity,
and various recent works have extended NeRF to handle dynamic scenes. A common …

We propose a novel approach for 3D video synthesis that is able to represent multi-view
video recordings of a dynamic real-world scene in a compact, yet expressive representation …

The fidelity of relighting is bounded by both geometry and appearance representations. For
geometry both mesh and volumetric approaches have difficulty modeling intricate structures …

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 address the problem of learning person-specific facial priors from a small number (eg,
20) of portrait photos of the same person. This enables us to edit this specific person's facial …

We present" The Relightables", a volumetric capture system for photorealistic and high
quality relightable full-body performance capture. While significant progress has been made …

Novel view synthesis is a challenging and ill-posed inverse rendering problem. Neural
rendering techniques have recently achieved photorealistic image quality for this task. State …

Editing of portrait images is a very popular and important research topic with a large variety
of applications. For ease of use, control should be provided via a semantically meaningful …

Compositing a person into a scene to look like they are really there is a fundamental
technique in visual effects, with many other applications such as smartphone photography …