Rendering Synthetic Objects into Legacy Photographs
December 24, 2019 Β· Declared Dead Β· π ACM Transactions on Graphics
"No code URL or promise found in abstract"
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Authors
Kevin Karsch, Varsha Hedau, David Forsyth, Derek Hoiem
arXiv ID
1912.11565
Category
cs.GR: Graphics
Citations
365
Venue
ACM Transactions on Graphics
Last Checked
1 month ago
Abstract
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 image and a small amount of annotation, our method creates a physical model of the scene that is suitable for realistically rendering synthetic objects with diffuse, specular, and even glowing materials while accounting for lighting interactions between the objects and the scene. We demonstrate in a user study that synthetic images produced by our method are confusable with real scenes, even for people who believe they are good at telling the difference. Further, our study shows that our method is competitive with other insertion methods while requiring less scene information. We also collected new illumination and reflectance datasets; renderings produced by our system compare well to ground truth. Our system has applications in the movie and gaming industry, as well as home decorating and user content creation, among others.
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