Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene
representation has taken the field of Computer Vision by storm. As a novel view synthesis …

Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

Virtual reality and augmented reality (XR) bring increasing demand for 3D content
generation. However, creating high-quality 3D content requires tedious work from a human …

Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …

Despite the rapid development of Neural Radiance Field (NeRF), the necessity of dense
covers largely prohibits its wider applications. While several recent works have attempted to …

Volumetric scene representations enable photorealistic view synthesis for static scenes and
form the basis of several existing 6-DoF video techniques. However, the volume rendering …

Abstract Dynamic Neural Radiance Field (NeRF) is a powerful algorithm capable of
rendering photo-realistic novel view images from a monocular RGB video of a dynamic …

Research on neural radiance fields (NeRFs) for novel view generation is exploding with new
models and extensions. However, a question that remains unanswered is what happens in …

View-dependent effects such as reflections pose a substantial challenge for image-based
and neural rendering algorithms. Above all, curved reflectors are particularly hard, as they …

This paper presents a critical analysis of image-based 3D reconstruction using neural
radiance fields (NeRFs), with a focus on quantitative comparisons with respect to traditional …