The radial basis function (RBF) network has its foundation in the conventional approximation
theory. It has the capability of universal approximation. The RBF network is a popular …

Abstract We present Stable Video 3D (SV3D)—a latent video diffusion model for high-
resolution, image-to-multi-view generation of orbital videos around a 3D object. Recent …

The interaction of light and matter in the world surrounding us is of striking complexity and
beauty. Since the very beginning of computer graphics, adequate modelling of these …

We introduce a method to render Neural Radiance Fields (NeRFs) in real time using
PlenOctrees, an octree-based 3D representation which supports view-dependent effects …

Neural volumetric representations such as Neural Radiance Fields (NeRF) have emerged
as a compelling technique for learning to represent 3D scenes from images with the goal of …

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 propose a deep inverse rendering framework for indoor scenes. From a single RGB
image of an arbitrary indoor scene, we obtain a complete scene reconstruction, estimating …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

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 …

We present radiance regression functions for fast rendering of global illumination in scenes
with dynamic local light sources. A radiance regression function (RRF) represents a non …