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A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm
Exemplar-based texture synthesis is defined as the process of generating, from an input texture sample, new texture images that are perceptually equivalent to the input. In the present work, we modelExpand
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ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
The colorization of grayscale images is an ill-posed problem, with multiple correct solutions. In this paper, we propose an adversarial learning colorization approach coupled with semanticExpand
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A survey of exemplar-based texture synthesis
Exemplar-based texture synthesis is the process of generating, from an input sample, new texture images of arbitrary size and which are perceptually equivalent to the sample. The two main approachesExpand
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Efros and Freeman Image Quilting Algorithm for Texture Synthesis
Exemplar-based texture synthesis is defined as the process of generating, from an input texture sample, new texture images that are perceptually equivalent to the input. Efros and Freeman's method isExpand
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Locally Gaussian exemplar based texture synthesis
The main approaches to texture modeling are the statistical psychophysically inspired model and the patch-based model. In the first model the texture is characterized by a sophisticated statisticalExpand
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Conditional Gaussian Models for Texture Synthesis
An ideal exemplar-based texture synthesis algorithm should create a new texture that is perceptually equivalent to its texture example. To this goal it should respect the statistics of the exampleExpand
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Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models
In exemplar based texture synthesis methods one of the major difficulties is to synthesize correctly the wide diversity of texture images. So far the proposed methods tend to have satisfying resultsExpand
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Motion Inpainting by an Image-Based Geodesic AMLE Method
This work presents an automatic method for optical flow inpainting. Given a video, each frame domain is endowed with a Riemannian metric based on the video pixel values. The missing optical flow isExpand
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ChromaGAN: An Adversarial Approach for Picture Colorization
The colorization of grayscale images is an ill-posed problem, with multiple correct solutions. In this paper, an adversarial learning approach is proposed. A generator network is used to infer theExpand
Texture synthesis using local Gaussian patch models
Exemplar based texture synthesis is the process of generating, from an input texture sample, new texture images that are perceptually equivalent to the input. We propose the use of local GaussianExpand