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Image analogy

An image analogy is a method of creating an image filter automatically from training data. In an image analogy process, the transformation between… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Parametric generative deep models are state-of-the-art for photo and non-photo realistic image stylization. However, learning… 
2013
2013
The framework of texture-by-numbers (TBN) synthesizes images of global-varying patterns with intuitive user control. Previous TBN… 
2011
2011
In this work, we propose an image analogy based super-resolution technique that can be used as an effective tool for document… 
2009
2009
In this paper, a novel exemplar-based completion model which is used to remove objects from natural image and texture image is… 
2008
2008
Most methods of super resolution so far enhance images by adding exterior information extracted from a given training set.However… 
2008
2008
Most methods of super resolution so far enhance images by adding exterior information extracted from a given training set… 
2007
2007
A typical texture synthesis algorithm takes as input a small example image and produces a much larger image resembling it within… 
2006
2006
This paper presents an example-based non-photorealistic image rendering algorithm,which employs the patch-based texture synthesis… 
2004
2004
We present a new application of the Image Analogies algorithm to be used for image segmentation. Our approach requires supervised… 
2002
2002
We present a simple patch-based matching scheme for generating novel visual appearance in which a new image is synthesized by the…