501 citations · 888 across the 12 of their papers we have counts for
14 papers
Depth Extraction from Video Using Non-parametric Sampling
Kevin Karsch, Ce Liu, Sing Bing Kang
We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods…
Inverse Rendering Techniques for Physically Grounded Image Editing
Kevin Karsch
From a single picture of a scene, people can typically grasp the spatial layout immediately and even make good guesses at materials properties and where light is coming from to ill…
Lightform: Procedural Effects for Projected AR
Brittany Factura, Laura LaPerche, Phil Reyneri +2
Projected augmented reality, also called projection mapping or video mapping, is a form of augmented reality that uses projected light to directly augment 3D surfaces, as opposed t…
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-…
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
Kevin Karsch, Ce Liu, Sing Bing Kang
We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods…
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…