209 citations · 394 across the 12 of their papers we have counts for
9 papers · 1 filter
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-…
Automatic Scene Inference for 3D Object Compositing
Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap +4
We present a user-friendly image editing system that supports a drag-and-drop object insertion (where the user merely drags objects into the image, and the system automatically pla…
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…
Rendering Synthetic Objects into Legacy Photographs
Kevin Karsch, Varsha Hedau, David Forsyth +1
We propose a method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements. With a single im…
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong, David Forsyth
This paper shows that two commonly used evaluation metrics for generative models, the Fréchet Inception Distance (FID) and the Inception Score (IS), are biased -- the expected valu…
Improving Style Transfer with Calibrated Metrics
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad +2
Style transfer methods produce a transferred image which is a rendering of a content image in the manner of a style image. We seek to understand how to improve style transfer. To d…