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Photosketcher:
Interactive Sketch-based Image Synthesis.
Mathias Eitz, Ronald Richter, Kristian Hildebrand, Tamy Boubekeur and Marc Alexa
IEEE Computer Graphics and Applications, 2011
Abstract
We introduce Photosketcher, an interactive system for progressively synthesizing novel images using only sparse user sketches as the input. Compared to existing approaches for synthesising images from parts of other images, Photosketcher works on the image content exclusively, no keywords or other metadata associated with the images is required. Users sketch the rough shape of a desired image part and we automatically search a large collection of images for images containing that part. The search is based on a bag-of-features approach using local descriptors for translation invariant part retrieval. The compositing step again is based on user scribbles: from the scribbles we predict the desired part using Gaussian Mixture Models and compute an optimal seam using Graphcut. Optionally, Photosketcher lets users blend the composite image in the gradient domain to further reduce visible seams. We demonstrate that the resulting system allows interactive generation of complex images.
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BibTex Reference:
@article{Eitz:2011:PhotoSketcher,
author = {Eitz, Mathias and Richter, Ronald and Hildebrand, Kristian and Boubekeur, Tamy and Alexa, Marc},
title = {Photosketcher: interactive sketch-based image synthesis},
journal ={IEEE Computer Graphics and Applications},
year = {2011},
}
Related Publications
PhotoSketch: A sketch based image query and compositing system
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur, and Marc Alexa
ACM SIGGRAPH 2009 - Talk Program
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