86 citations · 160 across the 5 of their papers we have counts for
7 papers
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…
StreetStyle: Exploring world-wide clothing styles from millions of photos
Kevin Matzen, Kavita Bala, Noah Snavely
Each day billions of photographs are uploaded to photo-sharing services and social media platforms. These images are packed with information about how people live around the world.…
Shading Annotations in the Wild
Balazs Kovacs, Sean Bell, Noah Snavely +1
Understanding shading effects in images is critical for a variety of vision and graphics problems, including intrinsic image decomposition, shadow removal, image relighting, and in…
From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators
Paul Upchurch, Noah Snavely, Kavita Bala
We propose a new neural network architecture for solving single-image analogies - the generation of an entire set of stylistically similar images from just a single input image. So…