We present an approach to modeling an image-space prior on scene dynamic...
Despite increasingly realistic image quality, recent 3D image generative...
We address the problem of synthesizing novel views from a monocular vide...
We describe a method to extract persistent elements of a dynamic scene f...
We study the problem of synthesizing immersive 3D indoor scenes from one...
We introduce the problem of predicting, from a single video frame, a
low...
Single image 3D photography enables viewers to view a still image from n...
We present a method to estimate depth of a dynamic scene, containing
arb...
We introduce KeypointDeformer, a novel unsupervised method for shape con...
Recent works have shown exciting results in unsupervised image de-render...
We present a framework for automatically reconfiguring images of street
...
We introduce the problem of perpetual view generation – long-range
gener...
Neural implicit shape representations are an emerging paradigm that offe...
A recent strand of work in view synthesis uses deep learning to generate...
We present a deep learning solution for estimating the incident illumina...
We present a novel approach to view synthesis using multiplane images (M...
We explore the problem of view synthesis from a narrow baseline pair of
...
We present a method for predicting dense depth in scenarios where both a...
We present an approach to infer a layer-structured 3D representation of ...
The view synthesis problem--generating novel views of a scene from known...