12 citations · 28 across the 6 of their papers we have counts for
6 papers
Blind Recovery of Spatially Varying Reflectance from a Single Image
Kevin Karsch, David Forsyth
We propose a new technique for estimating spatially varying parametric materials from a single image of an object with unknown shape in unknown illumination. Our method uses a low-…
ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models
Kevin Karsch, Mani Golparvar-Fard, David Forsyth
We describe a set of tools for analyzing, visualizing, and assessing architectural/construction progress with unordered photo collections and 3D building models. With our interface…
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
Shruti Bhargava, David Forsyth
The task of image captioning implicitly involves gender identification. However, due to the gender bias in data, gender identification by an image captioning model suffers. Also, t…
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…
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…