115 citations · 662 across the 44 of their papers we have counts for
7 papers · 1 filter
Leveraging Vision Reconstruction Pipelines for Satellite Imagery
Kai Zhang, Jin Sun, Noah Snavely
Reconstructing 3D geometry from satellite imagery is an important topic of research. However, disparities exist between how this 3D reconstruction problem is handled in the remote…
GeoStyle: Discovering Fashion Trends and Events
Utkarsh Mall, Kevin Matzen, Bharath Hariharan +2
Understanding fashion styles and trends is of great potential interest to retailers and consumers alike. The photos people upload to social media are a historical and public data s…
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
Wenqi Xian, Zhengqi Li, Matthew Fisher +3
We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene. Unlike recent methods that leverage deep learn…
DeepView: View Synthesis with Learned Gradient Descent
John Flynn, Michael Broxton, Paul Debevec +5
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…
Pushing the Boundaries of View Extrapolation with Multiplane Images
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron +3
We explore the problem of view synthesis from a narrow baseline pair of images, and focus on generating high-quality view extrapolations with plausible disocclusions. Our method bu…
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li, Tali Dekel, Forrester Cole +4
We present a method for predicting dense depth in scenarios where both a monocular camera and people in the scene are freely moving. Existing methods for recovering depth for dynam…