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Texture synthesis

Texture synthesis is the process of algorithmically constructing a large digital image from a small digital sample image by taking advantage of its structural content. It is an object of research in computer graphics and is used in many fields, amongst others digital image editing, 3D computer graphics and post-production of films.

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Textures

7 related topics

Methods

7 related topics

Implementations

2 related topics

Contrast with procedural textures

1 related topics

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Overview

Contrast with procedural textures

Textures

Methods

Implementations

Literature

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Map overview Semantic statistics

Texture synthesis

Nodes33
Edges32
Triples55
Avg. degree1.94
Density0.060606
Components1

How this topic connects Entity context

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Texture synthesis

Top relations

related to Literature · 13
Texture synthesis → Efros-Leung, Fast Texture Synthesis, Heeger-Bergen, Markov, Non-parametric Sampling, Novel, Paget-Longstaff, Popat, Pyramid, Several, Texture, Tree-structured Vector Quantization, Wei-Levoy
related to Deep learning and neural network approaches · 9
Texture synthesis → Another, GANs, In, Leon Gatys, More, PSGAN, The, The Spatial GAN, This
related to External links · 5
Texture synthesis → Efros, LabNonparametric Texture SynthesisExamples, Leung's, Periodic Spatial GAN, Regular Texture SynthesisThe Texture
related to Pixel-based texture synthesis · 5
Texture synthesis → Approximate Nearest Neighbor, Markov, The, These, They
related to Implementations · 3
Texture synthesis → Gimp, Some, TexturizeResynthesizer
related to Patch-based texture synthesis · 3
Texture synthesis → Image, Patch-based, These
related to Textures · 3
Texture synthesis → In, Often, Texture
related to Contrast with procedural textures · 2
Texture synthesis → By, Procedural
related to Goal · 2
Texture synthesis → Texture, The
related to Stochastic texture synthesis · 2
Texture synthesis → Stochastic, These

Important terminology Word statistics

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Important terminology

texture image synthesis textures output algorithms stochastic sample methods method images digital use graphics create large used patch-based like similar

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Texture synthesisis aprocess of algorithmically constructing a large digital image from a small digital sample image by taking advantage of its structural content0.90text
seamsinstance ofThe output should have the size given by the user.The output should be as similar as possible to the sample.The output should not have visible artifacts0.80text
blocksinstance ofThe output should have the size given by the user.The output should be as similar as possible to the sample.The output should not have visible artifacts0.80text
misfitting edges.The output should not repeatinstance ofThe output should have the size given by the user.The output should be as similar as possible to the sample.The output should not have visible artifacts0.80text
i. e. the same structures in the output image should not appear multiple places.Like most algorithmsinstance ofThe output should have the size given by the user.The output should be as similar as possible to the sample.The output should not have visible artifacts0.80text
texture synthesis should be efficient in computation timeinstance ofThe output should have the size given by the user.The output should be as similar as possible to the sample.The output should not have visible artifacts0.80text
in memory useinstance ofThe output should have the size given by the user.The output should be as similar as possible to the sample.The output should not have visible artifacts0.80text
Texture synthesishas methodThe0.60section
Texture synthesisrelated to Contrast with procedural texturesProcedural0.60section
Texture synthesisrelated to Contrast with procedural texturesBy0.60section
Texture synthesisrelated to Deep learning and neural network approachesMore0.60section
Texture synthesisrelated to Deep learning and neural network approachesThe0.60section

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