Results 11 to 20 of about 248,404 (280)
Inverse texture synthesis [PDF]
The quality and speed of most texture synthesis algorithms depend on a 2D input sample that is small and contains enough texture variations. However, little research exists on how to acquire such sample. For homogeneous patterns this can be achieved via manual cropping, but no adequate solution exists for inhomogeneous or ...
Shum, HY +5 more
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Texture Synthesis with Grouplets [PDF]
This paper proposes a new method to synthesize and inpaint geometric textures. The texture model is composed of a geometric layer that drives the computation of a new grouplet transform. The geometry is an orientation flow that follows the patterns of the texture to analyze or synthesize.
Gabriel Peyré
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Texture Synthesis From Photographs [PDF]
AbstractThe goal of texture synthesis is to generate an arbitrarily large high‐quality texture from a small input sample. Generally, it is assumed that the input image is given as a flat, square piece of texture, thus it has to be carefully prepared from a picture taken under ideal conditions. Instead we would like to extract the input texture from any
Eisenacher, Christian +2 more
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Exemplar-Based Texture Synthesis Using Two Random Coefficients Autoregressive Models
Example-based texture synthesis is a fundamental topic of many image analysis and computer vision applications. Consequently, its representation is one of the most critical and challenging topics in computer vision and pattern recognition, attracting ...
Ayoub Abderrazak Maarouf +2 more
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Fast Structural Texture Image Synthesis Algorithm Based on Seam ConsistencyCriterion [PDF]
Aiming at the problems of patch-based synthesis algorithm of structured texture images,such as discontinuity of structure,distortion of boundary,seam misalignment,and low synthesis speed,a new fast non-overlapping synthesis algorithm of texture images is
JIN Li-zhen, LI Qing-zhong
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Example-Based Facade Texture Synthesis [PDF]
There is an increased interest in the efficient creation of city models, be it virtual or as-built. We present a method for synthesizing complex, photo-realistic facade images, from a single example. After parsing the example image into its semantic components, a tiling for it is generated.
Dai, Dengxin +3 more
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Classification of remote sensing scene image (RSSI) has been broadly applied and has attracted increasing attention. However, scene classification methods based on convolutional neural networks (CNNs) require a large number of manually labeled samples as
Zhaoyang Liu +4 more
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Style Transfer Via Texture Synthesis [PDF]
Style-transfer is a process of migrating a style from a given image to the content of another, synthesizing a new image which is an artistic mixture of the two. Recent work on this problem adopting Convolutional Neural-networks (CNN) ignited a renewed interest in this field, due to the very impressive results obtained.
Michael Elad, Peyman Milanfar
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Survey of image style transfer based on neural network
In order to promote the research of image style transfer technology based on neural network, the main methods and representative work of image style transfer based on neural network are summarized and discussed in this paper.
Liu Jianfeng, Zhong Guoyun
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Fast Texture Synthesis for Discrete Example-Based Elements
Considering the problem of discrete texture synthesis and the time for texturing, this paper proposes a novel framework for synthesizing texture images based on discrete example-based elements.
Zhengrui Huang +2 more
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