209 citations · 709 across the 27 of their papers we have counts for
5 papers · 2 filters
Authoring image decompositions with generative models
Jason Rock, Theerasit Issaranon, Aditya Deshpande +1
We show how to extend traditional intrinsic image decompositions to incorporate further layers above albedo and shading. It is hard to obtain data to learn a multi-layer decomposit…
A Visual Representation for Editing Face Images
Jiajun Lu, Kalyan Sunkavalli, Nathan Carr +2
We propose a new approach for editing face images, which enables numerous exciting applications including face relighting, makeup transfer and face detail editing. Our face edits a…
Learning Diverse Image Colorization
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh +2
Colorization is an ambiguous problem, with multiple viable colorizations for a single grey-level image. However, previous methods only produce the single most probable colorization…
CDVAE: Co-embedding Deep Variational Auto Encoder for Conditional Variational Generation
Jiajun Lu, Aditya Deshpande, David Forsyth
Problems such as predicting a new shading field (Y) for an image (X) are ambiguous: many very distinct solutions are good. Representing this ambiguity requires building a condition…
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
We describe Swapout, a new stochastic training method, that outperforms ResNets of identical network structure yielding impressive results on CIFAR-10 and CIFAR-100. Swapout sample…