research
∙
09/14/2023
Generative Image Dynamics
We present an approach to modeling an image-space prior on scene dynamic...
share
research
∙
06/08/2023
Tracking Everything Everywhere All at Once
We present a new test-time optimization method for estimating dense and ...
research
∙
03/23/2023
Persistent Nature: A Generative Model of Unbounded 3D Worlds
Despite increasingly realistic image quality, recent 3D image generative...
research
∙
11/20/2022
DynIBaR: Neural Dynamic Image-Based Rendering
We address the problem of synthesizing novel views from a monocular vide...
research
∙
07/22/2022
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
We present a method for learning to generate unbounded flythrough videos...
research
∙
05/25/2022
Neural 3D Reconstruction in the Wild
We are witnessing an explosion of neural implicit representations in com...
research
∙
05/12/2022
3D Moments from Near-Duplicate Photos
We introduce 3D Moments, a new computational photography effect. As inpu...
research
∙
04/14/2022
Deformable Sprites for Unsupervised Video Decomposition
We describe a method to extract persistent elements of a dynamic scene f...
research
∙
04/05/2022
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
We propose a neural inverse rendering pipeline called IRON that operates...
research
∙
11/26/2020
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
We present a method to perform novel view and time synthesis of dynamic ...
research
∙
07/30/2020
Crowdsampling the Plenoptic Function
Many popular tourist landmarks are captured in a multitude of online, pu...
research
∙
08/19/2019
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
We introduce UprightNet, a learning-based approach for estimating 2DoF c...
research
∙
04/25/2019
Learning the Depths of Moving People by Watching Frozen People
We present a method for predicting dense depth in scenarios where both a...
research
∙
08/26/2018
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering
Intrinsic image decomposition is a challenging, long-standing computer v...
research
∙
04/02/2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Single-view depth prediction is a fundamental problem in computer vision...
research
∙
04/02/2018
