The goal of light transport acquisition is to take images from a sparse set of lighting and
viewing directions, and combine them to enable arbitrary relighting with changing view …

In this paper, we present an efficient and robust deep learning solution for novel view
synthesis of complex scenes. In our approach, a 3D scene is represented as a light field, ie …

We present a large-scale synthetic dataset for novel view synthesis consisting of~ 300k
images rendered from nearly 2000 complex scenes using high-quality ray tracing at high …

We present NeX, a new approach to novel view synthesis based on enhancements of
multiplane image (MPI) that can reproduce next-level view-dependent effects--in real time …

Abstract Neural Radiance Fields (NeRF) have emerged as a powerful representation for the
task of novel view synthesis due to their simplicity and state-of-the-art performance. Though …

We present a method for novel view synthesis from input images that are freely distributed
around a scene. Our method does not rely on a regular arrangement of input views, can …

Although neural radiance fields (NeRF) have shown impressive advances in novel view
synthesis, most methods require multiple input images of the same scene with accurate …

Recent neural view synthesis methods have achieved impressive quality and realism,
surpassing classical pipelines which rely on multi-view reconstruction. State-of-the-Art …

We introduce a method for novel view synthesis given only a single wide-baseline stereo
image pair. In this challenging regime, 3D scene points are regularly observed only once …

We present a novel approach to view synthesis using multiplane images (MPIs). Building on
recent advances in learned gradient descent, our algorithm generates an MPI from a set of …