The ultimate goal of many image-based modeling systems is to render photo-realistic novel
views of a scene without visible artifacts. Existing evaluation metrics and benchmarks focus …

In this paper, we present a method for modeling a complex scene from a small set of input
images taken from widely separated viewpoints and then synthesizing novel views. First, we …

Inferring a meaningful geometric scene representation from a single image is a fundamental
problem in computer vision. Approaches based on traditional depth map prediction can only …

The widespread adoption of Neural Radiance Fields (NeRFs) have ensured significant
advances in the domain of novel view synthesis in recent years. These models capture a …

This thesis describes methods that generate a digital three-dimensional (3D) model of a
visual scene's surfaces, using a set of calibrated photographs taken of the scene. The 3D …

Neural implicit 3D representations have emerged as a powerful paradigm for reconstructing
surfaces from multi-view images and synthesizing novel views. Unfortunately, existing …

Recent advancements in differentiable rendering and 3D reasoning have driven exciting
results in novel view synthesis from a single image. Despite realistic results, methods are …

A classical problem in computer vision is to infer a 3D scene representation from few images
that can be used to render novel views at interactive rates. Previous work focuses on …

We present an efficient image-based rendering algorithm that generates views of a scene's
photo hull. The photo hull is the largest 3D shape that is photo-consistent with photographs …

The realm of 3D computer vision and graphics has experienced exponential growth recently,
enabling the creation of realistic virtual environments and digital representations of real …