Rosenfeld, A.,
Lipkin, B.S.,
Texture Synthesis,
PPP70(309-322).
BibRef
7000
McCormick, B.H.,
Jayaramamurthy, S.N.,
Time Series Model for Texture Synthesis,
CIS(3), 1974, pp. 329-343.
BibRef
7400
Jayaramamurthy, S.N.,
Texture Discrimination Using Digital Deconvolution Filters,
ICPR80(1184-1186).
BibRef
8000
Jayaramamurthy, S.N.,
Multilevel Array Grammars for Generating Texture Scenes,
PRIP79(391-398).
BibRef
7900
Yokoyama, R.[Ryuzo],
Haralick, R.M.[Robert M.],
Texture Synthesis Using a Growth Model,
CGIP(8), No. 3, December 1978, pp. 369-381.
Elsevier DOI
BibRef
7812
Yokoyama, R.[Ryuzo],
Haralick, R.M.[Robert M.],
Texture Pattern Image Generation by Regular Markov Chain,
PR(11), No. 4, 1979, pp. 225-233.
Elsevier DOI
BibRef
7900
Sahal, D.[Devendra],
SELF: A framework for generation of patterns,
PR(10), No. 5-6, 1978, pp. 397-401.
Elsevier DOI
0309
BibRef
Schachter, B.[Bruce],
Ahuja, N.[Narendra],
Random Pattern Generation Processes,
CGIP(10), No. 2, June 1979, pp. 95-114.
Elsevier DOI
BibRef
7906
Tou, J.T.[Julius T.],
Pictorial Feature Extraction and Recognition via Image Modeling,
CGIP(12), No. 4, April 1980, pp. 376-406.
Elsevier DOI
BibRef
8004
Tou, J.T.[Julius T.],
An Approach to Understanding Geometrical Configurations by Computer,
CIS(9), 1980, pp. 1-13.
BibRef
8000
Tou, J.T.[Julius T.],
Computer recognition of design concepts,
ICPR92(II:639-642).
IEEE DOI
9208
Abstract patterns.
BibRef
Gagalowicz, A.,
A New Method for Texture Field Synthesis: Some Applications to the
Study of Human Vision,
PAMI(3), No. 5, September 1981, pp. 520-533.
BibRef
8109
Gagalowicz, A.[André],
Ma, S.D.[Song De],
Sequential Synthesis of Natural Textures,
CVGIP(30), No. 3, June 1985, pp. 289-315.
Elsevier DOI
BibRef
8506
Earlier:
Synthesis of Natural Textures on 3-D Surfaces,
ICPR84(1209-1212).
BibRef
Gagalowicz, A.[André],
Ma, S.D.[Song De],
Model Driven Synthesis of Natural Textures for 3-D Scenes,
Computers&Graphics(10), 1986, pp. 161-170.
BibRef
8600
Ma, S.D.[Song De],
Gagalowicz, A.[André],
Determination of Local Coordinate Systems for Texture Synthesis on
3-D Surfaces,
Computers&Graphics(10), 1986, pp. 171-176.
BibRef
8600
Gagalowicz, A.[André],
Texture Modelling Applications,
VC(3), 1987, pp. 186-200.
BibRef
8700
Boulanger, P.[Pierre],
Gagalowicz, A.[André],
Rioux, M.[Marc],
Integration of Synthetic Surface Relief in Range Images,
CVGIP(47), No. 3, September 1989, pp. 361-372.
Elsevier DOI
BibRef
8909
Gagalowicz, A.,
Tournier-Lasserve, C.,
Third Order Model for Non-Homogeneous Natural Textures,
ICPR86(409-411).
BibRef
8600
Gagalowicz, A.[André],
Ma, S.D.[Song De],
Tournier-Lasserve, C.,
Efficient Models for Color Textures,
ICPR86(412-414).
BibRef
8600
Charfi, H.[Hatem],
Gagalowicz, A.[André],
Brun, R.[Rémi],
Determination of Fabric Viscosity Parameters Using Iterative
Minimization,
CAIP05(789).
Springer DOI
0509
Simulation of cloth in free fall using trajectory data of real cloth.
BibRef
Monne, J.,
Schmitt, F.,
Massaloux, D.,
Bidimensional Texture Synthesis by Markov Chains,
CGIP(17), No. 1, September 1981, pp. 1-23.
Elsevier DOI
BibRef
8109
Earlier: A2, A3, Only:
Texture Synthesis Using a Bidimensional Markov Model,
PRIP81(593-596).
Gray tone senthysis.
BibRef
Massaloux, D.,
Stochastic Method for Texture Synthesis,
SP(4), 1982, pp. 336-337.
BibRef
8200
Fournier, A.,
Fussell, D.,
Carpenter, L.,
Computer Rendering of Stochastic Models,
CACM(25), 1982, pp. 371-384.
BibRef
8200
Mandelbrot, B.B.,
Comment on Computer Rendering of Stochastic Models,
CACM(25), 1982, pp. 581-584.
BibRef
8200
Kashyap, R.L.,
Analysis and Synthesis of Image Patterns by Spatial Interaction Models,
PPR82(149-186).
BibRef
8200
Kashyap, R.L.,
Lapsa, P.M.,
Image Identification and Segmentation According to Random Field Models,
IVC(1), No. 4, November 1983, pp. 189-195.
Elsevier DOI
BibRef
8311
Kashyap, R.L.,
Lapsa, P.M.,
Synthesis and Estimation of Random Fields Using Long-Correlation Models,
PAMI(6), No. 6, November 1984, pp. 800-809.
BibRef
8411
Chellappa, R.,
Kashyap, R.L.,
Texture Synthesis Using 2-D Noncausal Autoregressive Models,
ASSP(33), February 1985, pp. 194-203.
BibRef
8502
Shekar, B.,
Murty, M.N.[M. Narasimha],
Krishna, G.,
A knowledge-based approach to pattern generation,
PR(23), No. 11, 1990, pp. 1299-1306.
Elsevier DOI
0401
BibRef
Orural, L.[Levent],
Generating Connected Textured Fractal Patterns Using
Markov Random Fields,
PAMI(13), No. 8, August 1991, pp. 819-825.
IEEE DOI
BibRef
9108
Acuna, C.O.[Carmen O.],
Texture Modeling Using Gibbs Distributions,
GMIP(54), No. 3, May 1992, pp. 210-222.
BibRef
9205
Acuna, C.O.[Carmen O.],
An application of the bivariate pseudolikelihood to texture synthesis,
ICIP94(III: 431-435).
IEEE DOI
9411
BibRef
Atalay, V.,
Gelenbe, E.,
Yalabik, N.,
The Random Neural Network Model for Texture Generation,
PRAI(6), 1992, pp. 131-141.
BibRef
9200
Atalay, V.,
Gelenbe, E.,
Parallel Algorithm for Color Texture Generation Using the
Random Neural Network Model,
PRAI(6), 1992, pp. 437-446.
BibRef
9200
Teke, A.,
Atalay, V.,
Texture classification and retrieval using random neural network model,
Southwest04(109-113).
IEEE DOI
0411
BibRef
Sand, F.,
Dougherty, E.R.,
Asymptotic Normality of the Morphological Pattern-Spectrum Moments and
Orthogonal Granulometric Generators,
JVCIR(3), 1992, pp. 203-214.
BibRef
9200
Iversen, H.,
Lonnestad, T.,
An Evaluation of Stochastic Models for Analysis and
Synthesis of Gray Scale Texture,
PRL(15), 1994, pp. 575-585.
BibRef
9400
Bader, D.A.,
JaJa, J.,
Chellappa, R.,
Scalable Data-Parallel Algorithms for Texture Synthesis
Using Gibbs Random-Fields,
IP(4), No. 10, October 1995, pp. 1456-1460.
IEEE DOI
BibRef
9510
Earlier:
Scalable Data Parallel Algorithms for Texture Synthesis and
Compression Using Gibbs Random Fields,
UMIACSUMIACS-TR-93-80, or CS-TR-3123, August 1993.
BibRef
Sherif, S.,
Saleh, B.,
de Leone, R.,
Binary image synthesis using mixed linear integer programming,
IP(4), No. 9, September 1995, pp. 1252-1257.
IEEE DOI
0402
BibRef
Kaplan, L.M.,
Kuo, C.C.J.,
An improved method for 2-D self-similar image synthesis,
IP(5), No. 5, May 1996, pp. 754-761.
IEEE DOI
0402
BibRef
Portilla, J.,
Navarro, R.,
Nestares, O.,
Tabernero, A.,
Texture Synthesis-by-Analysis Method Based on a
Multiscale Early-Vision Model,
OptEng(35), No. 8, August 1996, pp. 2403-2417.
9609
BibRef
Margalit, A.,
A Parallel Algorithm to Generate a Markov Random Field Image
on a SIMD Hypercube Machine,
PRL(9), 1989, pp. 263-278.
BibRef
8900
Tugnait, J.K.,
Estimation of Linear Parametric Models of Non-Gaussian
Discrete Random Fields with Application to Texture Synthesis,
IP(3), No. 2, March 1994, pp. 109-127.
IEEE DOI
BibRef
9403
Dai, M.L.[Min-Lu],
Ozawa, K.[Kazumasa],
Texture Synthesis by L-Systems,
IVC(15), No. 3, March 1997, pp. 197-204.
Elsevier DOI
9704
BibRef
Dai, M.L.[Min-Lu],
Ozawa, K.[Kazumasa],
Simulation of Worn-Out Cloth Textures by Doubly Stochastic L-Systems,
IVC(16), No. 5, April 27 1998, pp. 363-371.
Elsevier DOI
9805
BibRef
Dominguez, M.,
Torres, L.,
Analysis and Synthesis of Textures Through the Inference of
Boolean Functions,
SP(59), No. 1, May 1997, pp. 1-16.
9708
BibRef
Kugler, A.,
High-Performance Texture Decompression Hardware,
VC(13), No. 2, 1997, pp. 51-63.
9705
BibRef
Kourgli, A.[Assia],
Belhadj-Aissa, A.[Aichouche],
Structural Approach to the Generation of Textured Images,
JRS(18), No. 17, November 20 1997, pp. 3611-3627.
9712
BibRef
Kourgli, A.[Assia],
Belhadj-Aissa, A.[Aichouche],
Bouchemakh, L.[Lynda],
Optimizing Texture Primitives Description Based on Variography and
Mathematical Morphology,
ICIAR04(I: 866-873).
Springer DOI
0409
BibRef
Paget, R.,
Longstaff, I.D.,
Texture Synthesis via a
Noncausal Nonparametric Multiscale Markov Random Field,
IP(7), No. 6, June 1998, pp. 925-931.
IEEE DOI
9806
BibRef
Paget, R.[Rupert],
Longstaff, I.D.[I. Dennis],
Texture Synthesis and Unsupervised Recognition with a
Nonparametric Multiscale Markov Random Field Model,
ICPR98(Vol II: 1068-1070).
IEEE DOI
9808
BibRef
Rolland, J.P.,
Goon, A.A.,
Yu, L.Y.,
Synthesis of Textured Complex Backgrounds,
OptEng(37), No. 7, July 1998, pp. 2055-2063.
9808
BibRef
Decker, L.,
Jeulin, D.,
Random Texture Simulation By Multispecies Lattice-Gas Models,
JEI(6), No. 1, January 1997, pp. 78-93.
9807
BibRef
Jeulin, D.[Dominique],
Random tessellations generated by Boolean random functions,
PRL(47), No. 1, 2014, pp. 139-146.
Elsevier DOI
1408
BibRef
Earlier:
Random Tessellations and Boolean Random Functions,
ISMM13(25-36).
Springer DOI
1305
Voronoi tessellation
BibRef
Hsu, T.I.,
Wilson, R.,
A Two-component Model of Texture for Analysis and Synthesis,
IP(7), No. 10, October 1998, pp. 1466-1476.
IEEE DOI
BibRef
9810
Jacovitti, G.,
Neri, A.,
Scarano, G.,
Texture Synthesis-by-analysis with Hard-limited Gaussian Processes,
IP(7), No. 11, November 1998, pp. 1615-1621.
IEEE DOI
BibRef
9811
Earlier:
Texture synthesis with Bussgang techniques,
ICIP95(III: 644-647).
IEEE DOI
9510
BibRef
Eom, K.B.,
2-D Moving Average Models for Texture Synthesis and Analysis,
IP(7), No. 12, December 1998, pp. 1741-1746.
IEEE DOI
9812
BibRef
Sivakumar, K.[Krishnamoorthy],
Goutsias, J.[John],
Morphologically Constrained GRFs:
Applications to Texture Synthesis and Analysis,
PAMI(21), No. 2, February 1999, pp. 99-113.
IEEE DOI
BibRef
9902
Sivakumar, J.,
Goutsias, J.,
MAP estimation of a class of morphologically constrained Gibbs random
fields,
ICIP98(II: 74-78).
IEEE DOI
9810
BibRef
Earlier:
Morphologically Constrained Gibbs Random Fields,
ICIP97(II: 851-854).
IEEE DOI
BibRef
Davidson, J.L.,
Cressie, N.[Noel],
Hua, X.,
Texture synthesis and pattern recognition for partially ordered Markov
models,
PR(32), No. 9, September 1999, pp. 1475-1505.
Elsevier DOI
BibRef
9909
Davidson, J.L.,
Talukder, A.,
Cressie, N.,
Texture analysis using partially ordered Markov models,
ICIP94(III: 402-406).
IEEE DOI
9411
BibRef
Moon, J.H.,
Kweon, J.H.,
Kim, H.K.,
Boundary Block-Merging (BBM) Technique for Efficient Texture Coding of
Arbitrarily Shaped Object,
CirSysVideo(9), No. 1, February 1999, pp. 35.
IEEE Top Reference.
BibRef
9902
Aubert, A.[Antoine],
Jeulin, D.[Dominique],
Estimation of the influence of second- and third-order moments on
random sets reconstructions,
PR(33), No. 6, June 2000, pp. 1083-1104.
Elsevier DOI
0004
BibRef
Nishino, K.[Ko],
Sato, Y.[Yoichi],
Ikeuchi, K.[Katsushi],
Eigen-Texture Method: Appearance Compression and Synthesis Based on a
3D Model,
PAMI(23), No. 11, November 2001, pp. 1257-1265.
IEEE DOI
0112
BibRef
And:
MfR01(Chapter II-5).
BibRef
Earlier:
Eigen-Texture Method: Appearance Compression based on 3D Model,
CVPR99(I: 618-624).
IEEE DOI
BibRef
Earlier:
Appearance Compression and Synthesis based on 3D Model for Mixed
Reality,
ICCV99(38-45).
IEEE DOI Generating virtual images with minimal representation of the texture.
BibRef
Coughlan, J.M.[James M.],
Yuille, A.L.[Alan L.],
Algorithms from statistical physics for generative models of images,
IVC(21), No. 1, January 2003, pp. 29-36.
Elsevier DOI
0301
BibRef
Brettle, D.S.,
Berry, E.,
Smith, M.A.,
Synthesis of texture from clinical images,
IVC(21), No. 5, 2003, pp. 433-445.
Elsevier DOI
0304
BibRef
Vese, L.A.[Luminita A.],
Osher, S.J.[Stanley J.],
Modeling Textures with Total Variation Minimization and
Oscillating Patterns in Image Processing,
SIAM_JSC(19), No. 1, 2003, pp. 553-572.
DOI Link
BibRef
0300
Vese, L.A.[Luminita A.],
Osher, S.J.[Stanley J.],
Image Denoising and Decomposition with Total Variation Minimization and
Oscillatory Functions,
JMIV(20), No. 1-2, January-March 2004, pp. 7-18.
DOI Link
0403
BibRef
Osher, S.J.,
Sole, A.,
Vese, L.A.,
Image decomposition, image restoration, and texture modeling using
total variation minimization and the H-1 norm,
ICIP03(I: 689-692).
IEEE DOI
0312
BibRef
Le, T.M.[Triet M.],
Lieu, L.H.[Linh H.],
Vese, L.A.[Luminita A.],
(phi,phi*) Image Decomposition Models and Minimization Algorithms,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI
0903
BibRef
Kim, Y.H.[Yun-Ho],
Garnett, J.[John],
Vese, L.A.[Luminita A.],
Image Restoration Using One-Dimensional Sobolev Norm Profiles of
Noise and Texture,
SIIMS(7), No. 1, 2014, pp. 366-390.
DOI Link
1404
BibRef
Earlier:
A convex minimization model in image restoration via one-dimensional
Sobolev norm profiles,
ICIP11(693-696).
IEEE DOI
1201
BibRef
Jung, M.Y.[Mi-Youn],
Resmerita, E.[Elena],
Vese, L.A.[Luminita A.],
Dual Norm Based Iterative Methods for Image Restoration,
JMIV(44), No. 2, October 2012, pp. 128-149.
WWW Link.
1206
BibRef
Earlier:
An Iterative Method with General Convex Fidelity Term for Image
Restoration,
ECCV10(I: 185-199).
Springer DOI
1009
BibRef
Wang, Y.Z.[Yi-Zhou],
Zhu, S.C.[Song-Chun],
Analysis and Synthesis of Textured Motion: Particles and Waves,
PAMI(26), No. 10, October 2004, pp. 1348-1363.
IEEE Abstract.
0409
BibRef
Earlier:
A Generative Method for Textured Motion: Analysis and Synthesis,
ECCV02(I: 583 ff.).
Springer DOI
0205
Photometric model: image is a linear combination of bases.
Geometric model: group spatially adjacent tokens.
Dynamic model: characterize the motion.
BibRef
Yin, W.T.[Wo-Tao],
Goldfarb, D.[Donald],
Osher, S.J.[Stanley J.],
A comparison of three total variation based texture extraction models,
JVCIR(18), No. 3, June 2007, pp. 240-252.
Elsevier DOI
0711
Image decomposition; Texture extraction; Feature selection;
Total variation; Variational imaging; Second-order cone programming;
Interior-point method
BibRef
Pei, S.C.,
Zeng, Y.C.,
Chang, C.H.,
Virtual Restoration of Ancient Chinese Paintings Using Color Contrast
Enhancement and Lacuna Texture Synthesis,
IP(13), No. 3, March 2004, pp. 416-429.
IEEE DOI
0404
BibRef
Pei, S.C.,
Chiu, Y.,
Background Adjustment and Saturation Enhancement in Ancient Chinese
Paintings,
IP(15), No. 10, October 2006, pp. 3230-3234.
IEEE DOI
0609
BibRef
Singh, J.[Jasvinder],
Dana, K.J.[Kristin J.],
Clustering and blending for texture synthesis,
PRL(25), No. 6, 19 April 2004, pp. 619-629.
Elsevier DOI
0405
BibRef
Campbell, N.W.[Neill W.],
Dalton, C.J.[Colin J.],
Gibson, D.P.[David P.],
Oziem, D.[David],
Thomas, B.T.[Barry T.],
Practical Generation of Video Textures using the Auto-Regressive
Process,
IVC(22), No. 10, 1 September 2004, pp. 819-827.
Elsevier DOI
0409
BibRef
Earlier: A1, A2, A3, A5 only:
BMVC02(3D and Video).
0208
BibRef
Wu, C.H.[Chang-Hsing],
Lai, Y.Y.[Yueh-Yi],
Tai, W.K.[Wen-Kai],
A hybrid-based texture synthesis approach,
VC(20), No. 2-3, May 2004, pp. 106-129.
Springer DOI
0405
BibRef
Chen, Y.S.[Yi-Song],
Ip, H.H.S.[Horace H.S.],
Texture evolution:
3D texture synthesis from single 2D growable texture pattern,
VC(20), No. 10, December 2004, pp. 650-664.
Springer DOI
0412
BibRef
Peter, H.[Hadrian],
A visualizing application of line integral convolution techniques,
JVCIR(15), No. 4, December 2004, pp. 548-564.
Elsevier DOI
0711
texture synthesis technique for visualizing vector data.
BibRef
Dong, J.Y.[Jun-Yu],
Chantler, M.J.[Mike J.],
Capture and Synthesis of 3D Surface Texture,
IJCV(62), No. 1-2, April-May 2005, pp. 177-194.
DOI Link
0411
BibRef
Earlier:
Texture02(41-46).
0207
BibRef
Dong, X.H.[Xing-Hui],
Dong, J.Y.[Jun-Yu],
Chantler, M.J.[Mike J.],
Perceptual Texture Similarity Estimation:
An Evaluation of Computational Features,
PAMI(43), No. 7, July 2021, pp. 2429-2448.
IEEE DOI
2106
Task analysis, Observers, Feature Computational,
extraction modeling, Convolutional neural networks, texture similarity
BibRef
Shi, Z.,
Feng, Z.,
A New Array Pattern Synthesis Algorithm Using the Two-Step
Least-Squares Method,
SPLetters(12), No. 3, March 2005, pp. 250-253.
IEEE Abstract.
0501
BibRef
Schretter, C.[Colas],
A Brush Tool for Interactive Texture Synthesis,
GVIP(05), No. V6, 2005, pp. 55-60
HTML Version.
BibRef
0500
Charalampidis, D.,
Texture Synthesis: Textons Revisited,
IP(15), No. 3, March 2006, pp. 777-787.
IEEE DOI
0604
BibRef
Li, H.L.[Hong-Liang],
Liu, G.Z.[Gui-Zhong],
Zhang, Z.W.[Zhong-Wei],
A New Texture Generation Method Based on Pseudo-DCT Coefficients,
IP(15), No. 5, May 2006, pp. 1300-1312.
IEEE DOI
0605
BibRef
Ruello, G.,
Blanco-Sanchez, P.,
Iodice, A.,
Mallorqui, J.J.,
Riccio, D.,
Broquetas, A.,
Franceschetti, G.,
Synthesis, Construction, and Validation of a Fractal Surface,
GeoRS(44), No. 6, June 2006, pp. 1403-1412.
IEEE DOI
0606
BibRef
Wu, F.[Fei],
Zhang, C.S.[Chang-Shui],
He, J.R.[Jing-Rui],
An evolutionary system for near-regular texture synthesis,
PR(40), No. 8, August 2007, pp. 2271-2282.
Elsevier DOI
0704
Near-regular texture; Texture synthesis; Texture system;
Evolutionary system; Unit pattern
BibRef
Costantini, R.[Roberto],
Sbaiz, L.[Luciano],
Süsstrunk, S.[Sabine],
Higher Order SVD Analysis for Dynamic Texture Synthesis,
IP(17), No. 1, January 2008, pp. 42-52.
IEEE DOI
0712
BibRef
Earlier:
Dynamic Texture Analysis and Synthesis Using Tensor Decomposition,
ISVC06(II: 245-254).
Springer DOI
0611
BibRef
Earlier:
Dynamic Texture Synthesis:
Compact Models Based on Luminance-Chrominance Color Representation,
ICIP06(2085-2088).
IEEE DOI
0610
BibRef
Wickramanayake, D.S.,
Edirisinghe, E.A.,
Bez, H.E.,
Transform domain texture synthesis,
SP:IC(23), No. 1, January 2008, pp. 1-13.
Elsevier DOI
0801
Texture synthesis; Image quilting; Multi-resolution; Wavelet transforms
BibRef
Bao, P.[Paul],
Ma, X.H.[Xiao-Hu],
Siu, W.C.[Wan-Chi],
Real-time Seamless Texture Synthesis Based On Patch Quantization
Clustering,
IJIG(6), No. 3, July 2006, pp. 475-495.
0607
BibRef
Dong, W.M.[Wei-Ming],
Zhou, N.[Ning],
Paul, J.C.[Jean-Claude],
Perspective-aware texture analysis and synthesis,
VC(24), No. 7-9, July 2008, pp. xx-yy.
Springer DOI
0804
BibRef
Lai, L.Y.[Liu-Yuan],
Hwang, W.L.[Wen-Liang],
Sreedevi, P.[Paruvelli],
Performance evaluation of a novel sampling-based texture synthesis
technique using different sized patches,
SIViP(2), No. 3, September 2008, pp. xx-yy.
Springer DOI
0804
BibRef
Sreedevi, P.[Paruvelli],
Hwang, W.L.[Wen-Liang],
Lei, S.,
An Examplar-Based Approach for Texture Compaction Synthesis and
Retrieval,
IP(19), No. 5, May 2010, pp. 1307-1318.
IEEE DOI
1004
BibRef
Peyré, G.[Gabriel],
Manifold models for signals and images,
CVIU(113), No. 2, February 2009, pp. 249-260.
Elsevier DOI
0901
Signal processing; Image modeling; Texture; Manifold
BibRef
Peyre, G.[Gabriel],
Texture Synthesis with Grouplets,
PAMI(32), No. 4, April 2010, pp. 733-746.
IEEE DOI
1003
BibRef
Earlier:
Texture Synthesis and Modification with a Patch-Valued Wavelet
Transform,
SSVM07(640-651).
Springer DOI
0705
Synthesize and in-paint textures. Geometric method.
BibRef
Dong, W.M.[Wei-Ming],
Paul, J.C.[Jean-Claude],
Review on Recent Patents in Texture Synthesis,
RPCS(2), No. 2, June 2009, pp. 111-115.
WWW Link.
Survey, Texture Synthesis.
1001
BibRef
Sinha, A.[Arnab],
Gupta, S.[Sumana],
A Fast Nonparametric Noncausal MRF-Based Texture Synthesis Scheme Using
a Novel FKDE Algorithm,
IP(19), No. 3, March 2010, pp. 561-572.
IEEE DOI
1003
BibRef
Sinha, A.[Arnab],
KKV, A.K.[Ajay Kumar],
Gupta, S.[Sumana],
Parallelogrammic neighborhood (PN) system for nonparametric MRF based
texture synthesis,
ICIP09(1345-1348).
IEEE DOI
0911
BibRef
Sarkar, S.,
Healey, G.,
Hyperspectral Texture Synthesis Using Histogram and Power Spectral
Density Matching,
GeoRS(48), No. 5, May 2010, pp. 2261-2270.
IEEE DOI
1006
BibRef
Galerne, B.[Bruno],
Gousseau, Y.[Yann],
Morel, J.M.[Jean-Michel],
Random Phase Textures: Theory and Synthesis,
IP(20), No. 1, January 2011, pp. 257-267.
IEEE DOI
1101
BibRef
Galerne, B.[Bruno],
Gousseau, Y.[Yann],
Morel, J.M.[Jean-Michel],
Micro-Texture Synthesis by Phase Randomization,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link
1202
Code, Texture Synthesis.
BibRef
Gui, Y.[Yan],
Ma, L.Z.[Li-Zhuang],
Periodic pattern of texture analysis and synthesis based on texels
distribution,
VC(26), No. 6-8, June 2010, pp. 951-964.
WWW Link.
1101
BibRef
Bartakke, P.P.,
Vaidya, S.A.,
Sutaone, M.S.,
Refining structural texture synthesis approach,
IET-IPR(5), No. 2, April 2011, pp. 184-189.
DOI Link
1103
BibRef
Oh, B.T.[Byung Tae],
Su, Y.P.[Ye-Ping],
Segall, C.A.[C. Andrew],
Kuo, C.C.J.[C.C. Jay],
Synthesis-Based Texture Video Coding with Side Information,
CirSysVideo(21), No. 5, May 2011, pp. 647-659.
IEEE DOI
1105
BibRef
Earlier:
Synthesis-Based Texture Coding for Video Compression with Side
Information,
ICIP08(1628-1631).
IEEE DOI
0810
BibRef
Damkat, C.[Chris],
Single image super-resolution using self-examples and texture synthesis,
SIViP(5), No. 3, September 2011, pp. 343-352.
WWW Link.
1109
BibRef
Turkan, M.[Mehmet],
Guillemot, C.[Christine],
Image Prediction Based on Neighbor-Embedding Methods,
IP(21), No. 4, April 2012, pp. 1885-1898.
IEEE DOI
1204
BibRef
Earlier:
Online dictionaries for image prediction,
ICIP11(293-296).
IEEE DOI
1201
BibRef
Earlier:
Image prediction: Template matching vs. sparse approximation,
ICIP10(789-792).
IEEE DOI
1009
BibRef
Earlier:
Sparse approximation with adaptive dictionary for image prediction,
ICIP09(25-28).
IEEE DOI
0911
Spatial texture from sparse approximations.
BibRef
Türkan, M.[Mehmet],
Guillemot, C.[Christine],
Dictionary learning for image prediction,
JVCIR(24), No. 3, April 2013, pp. 426-437.
Elsevier DOI
1303
BibRef
Earlier:
Locally linear embedding based texture synthesis for image prediction
and error concealment,
ICIP12(3009-3012).
IEEE DOI
1302
Dictionary learning; Image prediction; Image compression; Sparse
representations; Coding; Block transforms
BibRef
Hollemeersch, C.F.J.[Charles-Frederik J.],
Pieters, B.[Bart],
Lambert, P.[Peter],
van de Walle, R.[Rik],
A new approach to combine texture compression and filtering,
VC(27), No. 4, April 2011, pp. 371-385.
WWW Link.
1204
BibRef
Ndjiki-Nya, P.[Patrick],
Doshkov, D.,
Kaprykowsky, H.,
Zhang, F.,
Bull, D.[Dave],
Wiegand, T.[Thomas],
Perception-oriented video coding based on image analysis and
completion: A review,
SP:IC(27), No. 6, July 2012, pp. 579-594.
Elsevier DOI
1205
Texture analysis; Image completion; Texture synthesis; Quality
assessment; Rate-distortion optimization; Parametric video compression
BibRef
Ndjiki-Nya, P.[Patrick],
Bull, D.[Dave],
Wiegand, T.[Thomas],
Perception-oriented video coding based on texture analysis and
synthesis,
ICIP09(2273-2276).
IEEE DOI
0911
BibRef
Ndjiki-Nya, P.[Patrick],
Stüber, C.[Christoph],
Wiegand, T.[Thomas],
Texture Synthesis Method for Generic Video Sequences,
ICIP07(III: 397-400).
IEEE DOI
0709
BibRef
Earlier:
A New Generic Texture Synthesis Approach for Enhanced H.264/MPEG4-AVC
Video Coding,
VLBV05(121-128).
Springer DOI
0509
BibRef
Ndjiki-Nya, P.,
Hinz, T.,
Stuber, C.,
Wiegand, T.,
A Content-Based Video Coding Approach for Rigid and Non-Rigid Textures,
ICIP06(3169-3172).
IEEE DOI
0610
BibRef
Ndjiki-Nya, P.,
Makai, B.,
Blottermann, G.,
Smolic, A.,
Schwarz, H.,
Wiegand, T.,
Improved H.264/AVC coding using texture analysis and synthesis,
ICIP03(III: 849-852).
IEEE DOI
0312
BibRef
Guo, Y.[Yimo],
Zhao, G.Y.[Guo-Ying],
Pietikäinen, M.[Matti],
Discriminative features for texture description,
PR(45), No. 10, October 2012, pp. 3834-3843.
Elsevier DOI
1206
BibRef
Earlier:
Texture Classification using a Linear Configuration Model based
Descriptor,
BMVC11(xx-yy).
HTML Version.
1110
Feature extraction; Feature evaluation and selection; Texture
descriptors; Local binary pattern
See also Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions.
BibRef
Guo, Y.[Yimo],
Zhao, G.Y.[Guo-Ying],
Pietikäinen, M.[Matti],
Xu, Z.G.[Zheng-Guang],
Descriptor Learning Based on Fisher Separation Criterion for Texture
Classification,
ACCV10(III: 185-198).
Springer DOI
1011
BibRef
Lizarraga-Morales, R.A.[Rocio A.],
Guo, Y.[Yimo],
Zhao, G.Y.[Guo-Ying],
Pietikäinen, M.[Matti],
Dynamic Texture Synthesis in Space with a Spatio-temporal Descriptor,
CVLBP12(I:38-49).
Springer DOI
1304
BibRef
Guo, Y.[Yimo],
Zhao, G.Y.[Guo-Ying],
Chen, J.[Jie],
Pietikainen, M.[Matti],
Xu, Z.G.[Zheng-Guang],
Dynamic texture synthesis using a spatial temporal descriptor,
ICIP09(2277-2280).
IEEE DOI
0911
BibRef
Guo, Y.,
Zhao, G.,
Zhou, Z.,
Pietikainen, M.,
Video Texture Synthesis With Multi-Frame LBP-TOP and Diffeomorphic
Growth Model,
IP(22), No. 10, 2013, pp. 3879-3891.
IEEE DOI
1309
Video texture
BibRef
Racape, F.[Fabien],
Deforges, O.[Olivier],
Babel, M.[Marie],
Thoreau, D.,
Spatiotemporal texture synthesis and region-based motion compensation
for video compression,
SP:IC(28), No. 9, 2013, pp. 993-1005.
Elsevier DOI
1310
Video coding
BibRef
Racape, F.[Fabien],
Lefort, S.[Simon],
Francois, E.[Edouard],
Babel, M.[Marie],
Deforges, O.[Olivier],
Adaptive pixel/patch-based synthesis for texture compression,
ICIP11(609-612).
IEEE DOI
1201
BibRef
Aguerrebere, C.[Cecilia],
Gousseau, Y.[Yann],
Tartavel, G.[Guillaume],
Exemplar-based Texture Synthesis: the Efros-Leung Algorithm,
IPOL(2013), No. 2013, pp. 213-231.
DOI Link
1311
See also Texture Synthesis by Non-parametric Sampling.
BibRef
Xia, G.S.[Gui-Song],
Ferradans, S.[Sira],
Peyré, G.[Gabriel],
Aujol, J.F.[Jean-François],
Synthesizing and Mixing Stationary Gaussian Texture Models,
SIIMS(7), No. 1, 2014, pp. 476-508.
DOI Link
1404
BibRef
Earlier: A2, A1, A3, A4:
Static and Dynamic Texture Mixing Using Optimal Transport,
SSVM13(137-148).
Springer DOI
1305
See also Regularized Discrete Optimal Transport.
BibRef
Tartavel, G.[Guillaume],
Gousseau, Y.[Yann],
Peyré, G.[Gabriel],
Variational Texture Synthesis with Sparsity and Spectrum Constraints,
JMIV(52), No. 1, May 2015, pp. 124-144.
Springer DOI
1505
BibRef
Earlier:
Constrained Sparse Texture Synthesis,
SSVM13(186-197).
Springer DOI
1305
BibRef
Tartavel, G.[Guillaume],
Peyré, G.[Gabriel],
Gousseau, Y.[Yann],
Wasserstein Loss for Image Synthesis and Restoration,
SIIMS(9), No. 4, 2016, pp. 1726-1755.
DOI Link
1612
BibRef
Lizarraga-Morales, R.[Rocio],
Guo, Y.[Yimo],
Zhao, G.Y.[Guo-Ying],
Pietikainen, M.[Matti],
Sanchez-Yanez, R.[Raul],
Local spatiotemporal features for dynamic texture synthesis,
JIVP(2014), No. 1, 2014, pp. 17.
DOI Link
1404
BibRef
Shu, Y.[Yue],
Qian, Y.L.[Yin-Ling],
Sun, H.Q.[Han-Qiu],
Chen, Y.Y.[Yan-Yun],
Efficient texture synthesis of aggregate solid material,
VC(30), No. 6-8, June 2014, pp. 877-887.
WWW Link.
1407
BibRef
Briand, T.[Thibaud],
Vacher, J.[Jonathan],
Galerne, B.[Bruno],
Rabin, J.[Julien],
The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm,
IPOL(2014), No. 2014, pp. 276-299.
DOI Link
1411
See also Pyramid-Based Texture Analysis/Synthesis.
See also Micro-Texture Synthesis by Phase Randomization.
BibRef
Hsu, C.C.[Chih-Chung],
Kang, L.W.[Li-Wei],
Lin, C.W.[Chia-Wen],
Temporally Coherent Superresolution of Textured Video via Dynamic
Texture Synthesis,
IP(24), No. 3, March 2015, pp. 919-931.
IEEE DOI
1502
image resolution
BibRef
Akl, A.[Adib],
Yaacoub, C.[Charles],
Donias, M.[Marc],
da Costa, J.P.[Jean-Pierre],
Germain, C.[Christian],
Texture Synthesis Using the Structure Tensor,
IP(24), No. 11, November 2015, pp. 4082-4095.
IEEE DOI
1509
BibRef
Earlier:
Structure tensor based synthesis of directional textures for virtual
material design,
ICIP14(4867-4871)
IEEE DOI
1502
image texture.
Carbon
BibRef
Akl, A.[Adib],
Yaacoub, C.[Charles],
Donias, M.[Marc],
da Costa, J.P.[Jean-Pierre],
Germain, C.[Christian],
Synthesis of arbitrary-shaped textures constrained by the structure
tensor field,
SIViP(12), No. 1, January 2018, pp. 41-49.
Springer DOI
1801
BibRef
Akl, A.,
Iskandar, J.,
Second-moment matrix adaptation for local orientation estimation,
WSSIP16(1-4)
IEEE DOI
1608
Gaussian processes
BibRef
Alvarez, L.[Luis],
Gousseau, Y.[Yann],
Morel, J.M.[Jean-Michel],
Salgado, A.[Agustín],
Exploring the Space of Abstract Textures by Principles and Random
Sampling,
JMIV(53), No. 3, November 2015, pp. 332-345.
Springer DOI
1511
Exemplar based synthesis.
BibRef
Hao, C.[Chuanyan],
Chen, Y.[Yadang],
Wu, W.[Wen],
Wu, E.[Enhua],
An iterated randomized search algorithm for large-scale texture
synthesis and manipulations,
VC(31), No. 11, November 2015, pp. 1447-1458.
WWW Link.
1512
BibRef
Xu, J.[Jiayi],
Mao, X.Y.[Xiao-Yang],
Jin, X.G.[Xiao-Gang],
Jaffer, A.[Aubrey],
Lu, S.F.[Shu-Fang],
Li, L.[Li],
Toyoura, M.[Masahiro],
Hidden message in a deformation-based texture,
VC(31), No. 12, December 2015, pp. 1653-1669.
Springer DOI
1512
Generation of the marbling texture from the hidden message.
BibRef
Wu, F.Z.[Fu-Zhang],
Dong, W.M.[Wei-Ming],
Kong, Y.[Yan],
Mei, X.[Xing],
Yan, D.M.[Dong-Ming],
Zhang, X.P.[Xiao-Peng],
Paul, J.C.[Jean-Claude],
Feature-aware natural texture synthesis,
VC(32), No. 1, January 2016, pp. 43-55.
Springer DOI
1602
BibRef
Kita, N.[Naoki],
Miyata, K.[Kazunori],
Multi-class anisotropic blue noise sampling for discrete element
pattern generation,
VC(32), No. 6-8, June 2016, pp. 1035-1044.
Springer DOI
1608
BibRef
Raad, L.[Lara],
Desolneux, A.[Agnès],
Morel, J.M.[Jean-Michel],
A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm,
JMIV(56), No. 2, October 2016, pp. 260-279.
WWW Link.
1609
BibRef
Earlier:
Conditional Gaussian Models for Texture Synthesis,
SSVM15(474-485).
Springer DOI
1506
BibRef
And:
Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models,
CIARP15(435-443).
Springer DOI
1511
BibRef
Earlier:
Locally Gaussian exemplar based texture synthesis,
ICIP14(4667-4671)
IEEE DOI
1502
Biological system modeling
BibRef
You, X.,
Guo, W.,
Yu, S.,
Li, K.,
Príncipe, J.C.,
Tao, D.,
Kernel Learning for Dynamic Texture Synthesis,
IP(25), No. 10, October 2016, pp. 4782-4795.
IEEE DOI
1610
least mean squares methods
BibRef
Raad, L.[Lara],
Galerne, B.[Bruno],
Efros and Freeman Image Quilting Algorithm for Texture Synthesis,
IPOL(7), 2017, pp. 1-22.
DOI Link
1702
Code, Texture Synthesis.
See also Image Quilting for Texture Synthesis and Transfer.
BibRef
El Gheche, M.,
Aujol, J.F.,
Berthoumieu, Y.,
Deledalle, C.A.,
Texture Reconstruction Guided by a High-Resolution Patch,
IP(26), No. 2, February 2017, pp. 549-560.
IEEE DOI
1702
concave programming
BibRef
Gheche, M.E.,
Aujol, J.F.,
Berthoumieu, Y.,
Deledalle, C.A.,
Fablet, R.,
Texture synthesis guided by a low-resolution image,
IVMSP16(1-5)
IEEE DOI
1608
Context
BibRef
Kang, H.[Hyeong_Yeop],
Han, J.H.[Jung-Hyun],
Feature-preserving procedural texture,
VC(33), No. 6-8, June 2017, pp. 761-768.
Springer DOI
1706
Perserve the input example.
BibRef
Ibrahim, A.E.M.[Alaa Eldin M.],
Multiple-process procedural texture,
VC(33), No. 12, December 2017, pp. 1511-1528.
Springer DOI
1710
For rendering.
BibRef
Zhou, H.[Hang],
Chen, K.J.[Ke-Jiang],
Zhang, W.M.[Wei-Ming],
Qian, Z.X.[Zhen-Xing],
Yu, N.H.[Neng-Hai],
Targeted attack and security enhancement on texture synthesis based
steganography,
JVCIR(54), 2018, pp. 100-107.
Elsevier DOI
1806
Texture image, Steganalysis, Texture synthesis, Steganography
BibRef
Yoo, S.B.[Seok Bong],
Han, M.[Mikyong],
Efficient Texture Creation Based on Random Patches in Database and
Guided Filter,
IEICE(E101-D), No. 11, November 2018, pp. 2840-2843.
WWW Link.
1811
BibRef
Akl, A.[Adib],
Yaacoub, C.[Charles],
Donias, M.[Marc],
da Costa, J.P.[Jean-Pierre],
Germain, C.[Christian],
A survey of exemplar-based texture synthesis methods,
CVIU(172), 2018, pp. 12-24.
Elsevier DOI
1812
BibRef
Earlier:
Two-Stage volumetric texture synthesis based on structural
information,
IPTA17(1-6)
IEEE DOI
1804
Non-parametric synthesis, Exemplar, Synthetic texture,
Objective analysis, Parametric synthesis, Regular patterns.
computational geometry, image texture,
2D structure/texture synthesis algorithm,
Volumetric Texture
BibRef
Yang, S.[Shuai],
Liu, J.Y.[Jia-Ying],
Lian, Z.H.[Zhou-Hui],
Guo, Z.M.[Zong-Ming],
Text effects transfer via distribution-aware texture synthesis,
CVIU(174), 2018, pp. 43-56.
Elsevier DOI
1812
Text effects, Texture synthesis, Spatial distribution,
Multi-scale, Style transfer
BibRef
Galerne, B.,
Leclaire, A.,
Rabin, J.,
A Texture Synthesis Model Based on Semi-Discrete Optimal Transport in
Patch Space,
SIIMS(11), No. 4, 2018, pp. 2456-2493.
DOI Link
1901
BibRef
Yang, F.,
Xia, G.,
Dai, D.,
Zhang, L.,
Learning the Synthesizability of Dynamic Texture Samples,
IP(28), No. 5, May 2019, pp. 2502-2517.
IEEE DOI
1903
feature extraction, image classification, image representation,
image texture, learning (artificial intelligence),
shape cooccurrence patterns
BibRef
Li, J.[Jie],
Xiang, Y.[Yong],
Hou, J.Y.[Jing-Yu],
Xu, D.[Dan],
Non-Local Texture Optimization With Wasserstein Regularization Under
Convolutional Neural Network,
MultMed(21), No. 6, June 2019, pp. 1437-1449.
IEEE DOI
1906
Example based texture synthesis.
Optimization, Task analysis, Image color analysis,
Image generation, Convolutional neural networks, Correlation,
convolution neural network
BibRef
Cai, X.X.[Xiu-Xia],
Song, B.[Bin],
Fang, Z.Q.[Zhi-Qian],
Exemplar based regular texture synthesis using LSTM,
PRL(128), 2019, pp. 226-230.
Elsevier DOI
1912
Deep learning, Texture synthesis, Exemplar, LSTM
BibRef
Jakab, M.[Marek],
Hudec, L.[Lukas],
Benesova, W.[Wanda],
Partial disentanglement of hierarchical variational auto-encoder for
texture synthesis,
IET-CV(14), No. 8, December 2020, pp. 564-574.
DOI Link
2012
BibRef
Xie, J.,
Zhu, S.C.,
Wu, Y.N.,
Learning Energy-Based Spatial-Temporal Generative ConvNets for
Dynamic Patterns,
PAMI(43), No. 2, February 2021, pp. 516-531.
IEEE DOI
2101
BibRef
Earlier:
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet,
CVPR17(1061-1069)
IEEE DOI
1711
Data models, Heuristic algorithms, Solid modeling, Generators,
Video sequences, Dynamics,
spatial-temporal ConvNets.
Algorithm design and analysis, Data models, Heuristic algorithms,
Image sequences, Indexes, Training, Video, sequences
BibRef
Lu, Z.L.[Zhao-Lin],
Zhang, Z.Y.[Zi-Yan],
Wang, Y.[Yi],
Dong, L.[Liang],
Liang, S.[Song],
SEM Image Quality Assessment Based on Texture Inpainting,
IEICE(E104-D), No. 2, February 2021, pp. 341-345.
WWW Link.
2102
BibRef
Wang, Y.[Yi],
Zhou, Y.[Yu],
Li, M.Y.[Meng-Yu],
Sun, Y.J.[Yag-Jing],
Ding, J.[Jicun],
Blind Omnidirectional Image Quality Assessment Based on Semantic
Information Replenishment,
JVCIR(103), 2024, pp. 104241.
Elsevier DOI
2409
Blind omnidirectional image quality assessment (BOIQA),
Semantic information replenishment, Multi-stream network
BibRef
Wang, Z.M.,
Li, M.H.,
Xia, G.S.,
Conditional Generative ConvNets for Exemplar-Based Texture Synthesis,
IP(30), 2021, pp. 2461-2475.
IEEE DOI
2102
Adaptation models, Image texture, Heuristic algorithms, generative model,
Probabilistic logic, Maximum likelihood estimation, Generators
BibRef
Yang, K.[Kun],
Liu, D.[Dong],
Chen, Z.B.[Zhi-Bo],
Wu, F.[Feng],
Li, W.P.[Wei-Ping],
Spatiotemporal Generative Adversarial Network-Based Dynamic Texture
Synthesis for Surveillance Video Coding,
CirSysVideo(32), No. 1, January 2022, pp. 359-373.
IEEE DOI
2201
Video coding, Surveillance, Dynamics, Spatiotemporal phenomena,
Heuristic algorithms, Encoding, Generative adversarial networks, video coding
BibRef
Gan, Y.H.[Yan-Hai],
Gao, F.[Feng],
Dong, J.Y.[Jun-Yu],
Chen, S.[Sheng],
Arbitrary-Scale Texture Generation From Coarse-Grained Control,
IP(31), 2022, pp. 5841-5855.
IEEE DOI
2209
Markov random fields, Solid modeling, Task analysis, Bayes methods,
Visualization, Real-time systems, Pipelines, Texture synthesis,
fully convolutional network
BibRef
Zhu, C.[Chen],
Xu, J.[Jun],
Feng, D.H.[Dong-Hui],
Xie, R.[Rong],
Song, L.[Li],
Edge-Based Video Compression Texture Synthesis Using Generative
Adversarial Network,
CirSysVideo(32), No. 10, October 2022, pp. 7061-7076.
IEEE DOI
2210
Feature extraction, Image edge detection, Encoding,
Video compression, Generative adversarial networks,
generative adversarial network
BibRef
Xie, S.[Shasha],
Qian, W.H.[Wen-Hua],
Nie, R.[Rencan],
Xu, D.[Dan],
Cao, J.[Jinde],
GAGCN: Generative adversarial graph convolutional network for
non-homogeneous texture extension synthesis,
IET-IPR(17), No. 5, 2023, pp. 1603-1614.
DOI Link
2304
attention mechanism, generative adversarial networks,
graph convolutional networks, non-homogeneous texture synthesis
BibRef
Chatillon, P.[Pierrick],
Gousseau, Y.[Yann],
Lefebvre, S.[Sidonie],
A Geometrically Aware Auto-Encoder for Multi-texture Synthesis,
SSVM23(263-275).
Springer DOI
2307
BibRef
Tania, S.[Sheikh],
Karmakar, G.[Gour],
Teng, S.W.[Shyh Wei],
Murshed, M.[Manzur],
A Robust Local Texture Descriptor in the Parametric Space of the
Weibull Distribution,
MultMed(25), 2023, pp. 6053-6066.
IEEE DOI
2311
BibRef
Zhou, Y.[Yang],
Xiao, R.[Rongjun],
Lischinski, D.[Dani],
Cohen-Or, D.[Daniel],
Huang, H.[Hui],
Generating Non-Stationary Textures Using Self-Rectification,
CVPR24(7767-7776)
IEEE DOI Code:
WWW Link.
2410
Visualization, Codes, Semantics, Controllability,
Standards, Texture Synthesis, diffusion network
BibRef
Yeh, Y.Y.[Yu-Ying],
Huang, J.B.[Jia-Bin],
Kim, C.[Changil],
Xiao, L.[Lei],
Nguyen-Phuoc, T.[Thu],
Khan, N.[Numair],
Zhang, C.[Cheng],
Chandraker, M.[Manmohan],
Marshall, C.S.[Carl S],
Dong, Z.[Zhao],
Li, Z.Q.[Zheng-Qin],
TextureDreamer: Image-Guided Texture Synthesis through Geometry-Aware
Diffusion,
CVPR24(4304-4314)
IEEE DOI Code:
WWW Link.
2410
Geometry, Learning systems, Visualization, Shape, Companies,
texture synthesis, texture transfer, diffusion model, score distillation
BibRef
Mitchel, T.W.[Thomas W.],
Esteves, C.[Carlos],
Makadia, A.[Ameesh],
Single Mesh Diffusion Models with Field Latents for Texture
Generation,
CVPR24(7953-7963)
IEEE DOI Code:
WWW Link.
2410
Adaptation models, Visualization, Shape, Diffusion models, Vectors,
Encoding, Diffusion Models, Geometry Processing, Surfaces, VAE
BibRef
Chen, D.Z.Y.[Dave Zhen-Yu],
Li, H.X.[Hao-Xuan],
Lee, H.Y.[Hsin-Ying],
Tulyakov, S.[Sergey],
Nießner, M.[Matthias],
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via
Diffusion Priors,
CVPR24(21081-21091)
IEEE DOI
2410
Geometry, Visualization, Accuracy, Rendering (computer graphics),
Linear programming, Decoding, 3D generation, texture synthsis, diffusion
BibRef
Chen, D.Z.Y.[Dave Zhen-Yu],
Siddiqui, Y.[Yawar],
Lee, H.Y.[Hsin-Ying],
Tulyakov, S.[Sergey],
Nießner, M.[Matthias],
Text2Tex: Text-driven Texture Synthesis via Diffusion Models,
ICCV23(18512-18522)
IEEE DOI
2401
BibRef
Zuo, Q.[Qi],
Song, Y.F.[Ya-Fei],
Li, J.[Jianfang],
Liu, L.[Lin],
Bo, L.[Liefeng],
DG3D: Generating High Quality 3D Textured Shapes by Learning to
Discriminate Multi-Modal Diffusion-Renderings,
ICCV23(14529-14538)
IEEE DOI Code:
WWW Link.
2401
BibRef
Bokhovkin, A.[Alexey],
Tulsiani, S.[Shubham],
Dai, A.[Angela],
Mesh2Tex: Generating Mesh Textures from Image Queries,
ICCV23(8884-8894)
IEEE DOI
2401
BibRef
Yu, X.[Xin],
Dai, P.[Peng],
Li, W.B.[Wen-Bo],
Ma, L.[Lan],
Liu, Z.Z.[Zheng-Zhe],
Qi, X.J.[Xiao-Juan],
Texture Generation on 3D Meshes with Point-UV Diffusion,
ICCV23(4183-4193)
IEEE DOI Code:
WWW Link.
2401
BibRef
Cao, T.[Tianshi],
Kreis, K.[Karsten],
Fidler, S.[Sanja],
Sharp, N.[Nicholas],
Yin, K.X.[Kang-Xue],
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion
Models,
ICCV23(4146-4158)
IEEE DOI
2401
BibRef
Long, F.[Fang],
Wang, Y.G.[Yuan-Gen],
Image Inpainting with Information Loss Reduction and
Texture-Structure Feature Fusion,
ICIP23(1170-1174)
IEEE DOI Code:
WWW Link.
2312
BibRef
Avrahami, O.[Omri],
Hayes, T.[Thomas],
Gafni, O.[Oran],
Gupta, S.[Sonal],
Taigman, Y.[Yaniv],
Parikh, D.[Devi],
Lischinski, D.[Dani],
Fried, O.[Ohad],
Yin, X.[Xi],
SpaText: Spatio-Textual Representation for Controllable Image
Generation,
CVPR23(18370-18380)
IEEE DOI
2309
BibRef
Zhou, Y.[Yang],
Chen, K.J.[Kai-Jian],
Xiao, R.[Rongjun],
Huang, H.[Hui],
Neural Texture Synthesis with Guided Correspondence,
CVPR23(18095-18104)
IEEE DOI
2309
BibRef
Delon, J.[Julie],
Desolneux, A.[Agnès],
Facq, L.[Laurent],
Leclaire, A.[Arthur],
Optimal Transport Between GMM for Multiscale Texture Synthesis,
SSVM23(627-638).
Springer DOI
2307
BibRef
Li, B.[Boyi],
Cui, Y.[Yin],
Lin, T.Y.[Tsung-Yi],
Belongie, S.[Serge],
Sitta: Single Image Texture Translation for Data Augmentation,
LLID22(3-20).
Springer DOI
2304
BibRef
Koestler, L.[Lukas],
Grittner, D.[Daniel],
Moeller, M.[Michael],
Cremers, D.[Daniel],
Lähner, Z.[Zorah],
Intrinsic Neural Fields: Learning Functions on Manifolds,
ECCV22(II:622-639).
Springer DOI
2211
For textures.
BibRef
Chen, H.W.[Hai-Wei],
Liu, J.Y.[Jia-Yi],
Chen, W.K.[Wei-Kai],
Liu, S.C.[Shi-Chen],
Zhao, Y.J.[Ya-Jie],
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network,
CVPR22(3698-3707)
IEEE DOI
2210
Training, Representation learning, Deep learning, Visualization,
Shape, Scalability, Image and video synthesis and generation,
Representation learning
BibRef
Guo, X.F.[Xie-Fan],
Yang, H.Y.[Hong-Yu],
Huang, D.[Di],
Image Inpainting via Conditional Texture and Structure Dual
Generation,
ICCV21(14114-14123)
IEEE DOI
2203
Image texture, Codes, Computational modeling,
Bidirectional control, Logic gates, Image reconstruction,
Neural generative models
BibRef
Toulatzis, V.[Vasilis],
Fudos, I.[Ioannis],
Deep Tiling: Texture Tile Synthesis Using a Constant Space Deep
Learning Approach,
ISVC21(I:414-426).
Springer DOI
2112
BibRef
Heitz, E.[Eric],
Vanhoey, K.[Kenneth],
Chambon, T.[Thomas],
Belcour, L.[Laurent],
A Sliced Wasserstein Loss for Neural Texture Synthesis,
CVPR21(9407-9415)
IEEE DOI
2111
Training, Neural networks, Computer architecture, Production, Tools,
Feature extraction, Complexity theory
BibRef
Chaudhuri, B.[Bindita],
Sarafianos, N.[Nikolaos],
Shapiro, L.[Linda],
Tung, T.[Tony],
Semi-supervised Synthesis of High-Resolution Editable Textures for 3D
Humans,
CVPR21(7987-7996)
IEEE DOI
2111
Training, Surface reconstruction,
Layout, Semantics, Rendering (computer graphics), Probability distribution
BibRef
Liao, L.[Liang],
Xiao, J.[Jing],
Wang, Z.[Zheng],
Lin, C.W.[Chia-Wen],
Satoh, S.[Shin'ichi],
Image Inpainting Guided by Coherence Priors of Semantics and Textures,
CVPR21(6535-6544)
IEEE DOI
2111
Image segmentation, Image texture, Semantics,
Coherence, Propagation losses, Filling
BibRef
Gecer, B.[Baris],
Deng, J.K.[Jian-Kang],
Zafeiriou, S.P.[Stefanos P.],
OSTeC: One-Shot Texture Completion,
CVPR21(7624-7634)
IEEE DOI
2111
Solid modeling,
Image synthesis, Face recognition, Fitting, Generative adversarial networks
BibRef
Houdard, A.[Antoine],
Leclaire, A.[Arthur],
Papadakis, N.[Nicolas],
Rabin, J.[Julien],
Wasserstein Generative Models for Patch-based Texture Synthesis,
SSVM21(269-280).
Springer DOI
2106
BibRef
Zhang, Y.L.[Yu-Lun],
Zhang, Z.F.[Zhi-Fei],
di Verdi, S.[Stephen],
Wang, Z.W.[Zhao-Wen],
Echevarria, J.[Jose],
Fu, Y.[Yun],
Texture Hallucination for Large-factor Painting Super-resolution,
ECCV20(VII:209-225).
Springer DOI
2011
BibRef
Martin-Brualla, R.[Ricardo],
Pandey, R.[Rohit],
Bouaziz, S.[Sofien],
Brown, M.[Matthew],
Goldman, D.B.[Dan B.],
Gelato: Generative Latent Textured Objects,
ECCV20(VI:242-258).
Springer DOI
2011
BibRef
Shi, W.,
Qiao, Y.,
Fast Texture Synthesis via Pseudo Optimizer,
CVPR20(5497-5506)
IEEE DOI
2008
Neural networks, Training, Transforms, Scalability,
Optimization methods, Convolution
BibRef
Wang, J.[Jian],
Zhong, Y.S.[Yun-Shan],
Li, Y.C.[Ya-Chun],
Zhang, C.[Chi],
Wei, Y.C.[Yi-Chen],
Re-Identification Supervised Texture Generation,
CVPR19(11838-11848).
IEEE DOI
2002
BibRef
Yu, N.[Ning],
Barnes, C.[Connelly],
Shechtman, E.[Eli],
Amirghodsi, S.[Sohrab],
Lukac, M.[Michal],
Texture Mixer: A Network for Controllable Synthesis and Interpolation
of Texture,
CVPR19(12156-12165).
IEEE DOI
2002
BibRef
Arantes, R.B.[Renato Barros],
Vogiatzis, G.[George],
Faria, D.[Diego],
QuiltGAN: An Adversarially Trained, Procedural Algorithm for Texture
Generation,
CVS19(423-432).
Springer DOI
1912
BibRef
de Bortoli, V.[Valentin],
Desolneux, A.[Agnès],
Galerne, B.[Bruno],
Leclaire, A.[Arthur],
Macrocanonical Models for Texture Synthesis,
SSVM19(13-24).
Springer DOI
1909
BibRef
Yang, F.,
Xia, G.,
Dai, D.,
Zhang, L.,
Delving into the Synthesizability of Dynamic Texture Samples,
ICPR18(2953-2958)
IEEE DOI
1812
Shape, Heuristic algorithms, Feature extraction, Predictive models,
Dictionaries, Training, Dynamic compiler
BibRef
Tesfaldet, M.,
Brubaker, M.A.,
Derpanis, K.G.,
Two-Stream Convolutional Networks for Dynamic Texture Synthesis,
CVPR18(6703-6712)
IEEE DOI
1812
Dynamics, Computational modeling, Visualization,
Spatiotemporal phenomena, Streaming media, Optical imaging, Object recognition
BibRef
Ulyanov, D.,
Vedaldi, A.,
Lempitsky, V.,
Improved Texture Networks: Maximizing Quality and Diversity in
Feed-Forward Stylization and Texture Synthesis,
CVPR17(4105-4113)
IEEE DOI
1711
Convolutional codes, Entropy, Generators,
Monte Carlo methods, Neural networks, Optimization
BibRef
Li, Y.,
Fang, C.,
Yang, J.,
Wang, Z.,
Lu, X.,
Yang, M.H.,
Diversified Texture Synthesis with Feed-Forward Networks,
CVPR17(266-274)
IEEE DOI
1711
Feature extraction, Generators, Interpolation, Loss measurement,
Training, Visualization
BibRef
Gutierrez, J.[Jorge],
Rabin, J.[Julien],
Galerne, B.[Bruno],
Hurtut, T.[Thomas],
Optimal Patch Assignment for Statistically Constrained Texture
Synthesis,
SSVM17(172-183).
Springer DOI
1706
BibRef
Liu, G.[Gang],
Gousseau, Y.,
Xia, G.S.,
Texture synthesis through convolutional neural networks and spectrum
constraints,
ICPR16(3234-3239)
IEEE DOI
1705
Art, Biological neural networks, Convolution, Correlation,
Discrete Fourier transforms, Feature, extraction
BibRef
Lee, J.H.[Joo Ho],
Choi, I.[Inchang],
Kim, M.H.[Min H.],
Laplacian Patch-Based Image Synthesis,
CVPR16(2727-2735)
IEEE DOI
1612
BibRef
Li, C.[Chuan],
Wand, M.[Michael],
Precomputed Real-Time Texture Synthesis with Markovian Generative
Adversarial Networks,
ECCV16(III: 702-716).
Springer DOI
1611
BibRef
And:
Combining Markov Random Fields and Convolutional Neural Networks for
Image Synthesis,
CVPR16(2479-2486)
IEEE DOI
1612
BibRef
Liu, F.L.[Fang-Lei],
Yang, J.Y.[Jing-Yu],
Yue, H.J.[Huan-Jing],
Moire Pattern Removal from Texture Images via Low-Rank and Sparse
Matrix Decomposition,
VCIP15(1-4)
IEEE DOI
1605
Dictionaries
See also Reflection Removal for Stele Images via Sparse Signal Decomposition.
BibRef
Thakur, U.S.,
Chubach, O.,
Texture analysis and synthesis using steerable pyramid decomposition
for video coding,
WSSIP15(204-207)
IEEE DOI
1603
data compression
BibRef
Naser, K.,
Ricordel, V.,
Le Callet, P.,
Local texture synthesis:
A static texture coding algorithm fully compatible with HEVC,
WSSIP15(37-40)
IEEE DOI
1603
codecs
BibRef
Mu, J.[Jian],
Chen, D.Z.[Danny Z.],
An optimization-based approach for restoring missing structures and
textures in images,
ICIP15(3705-3709)
IEEE DOI
1512
Image completion; combined approach; optimization techniques
BibRef
Portilla, J.[Javier],
Quantum-computation-inspired reverse analysis texture synthesis,
ICIP15(596-600)
IEEE DOI
1512
Quantum Computation
BibRef
Georgiadis, G.[Georgios],
Soatto, S.[Stefano],
A mid-level representation of visual structures for video compression,
WACV16(1-8)
IEEE DOI
1606
Detectors
BibRef
Georgiadis, G.[Georgios],
Chiuso, A.[Alessandro],
Soatto, S.[Stefano],
Texture representations for image and video synthesis,
CVPR15(2058-2066)
IEEE DOI
1510
BibRef
Wang, J.Y.[Jian-Yu],
Allebach, J.P.[Jan P.],
Ortiz-Segovia, M.V.[Maria V.],
Semantically-based 2.5D texture printing,
ICIP14(2634-2638)
IEEE DOI
1502
Texture to surface texture.
BibRef
Tan, Z.Y.[Zhang-Yun],
Atto, A.M.[Abdourrahmane M.],
Alata, O.[Olivier],
Moreaud, M.[Maxime],
ARFBF model for non stationary random fields and application in HRTEM
images,
ICIP15(2651-2655)
IEEE DOI
1512
BibRef
Earlier: A2, A1, A3, A4:
Non-stationary texture synthesis from random field modeling,
ICIP14(4266-4270)
IEEE DOI
1502
Autoregressive Field
BibRef
Colonnese, S.,
Rinauro, S.,
Mangone, K.,
Biagi, M.,
Cusani, R.,
Scarano, G.,
Reconstruction of compressively sampled texture images in the
graph-based transform domain,
ICIP14(1292-1296)
IEEE DOI
1502
Discrete wavelet transforms
BibRef
Dai, D.X.[Deng-Xin],
Riemenschneider, H.[Hayko],
Van Gool, L.J.[Luc J.],
The Synthesizability of Texture Examples,
CVPR14(3027-3034)
IEEE DOI
1409
Homogeneity
BibRef
Yan, X.[Xing],
Chang, H.[Hong],
Chen, X.L.[Xi-Lin],
Temporally multiple dynamic textures synthesis using piecewise linear
dynamic systems,
ICIP13(3167-3171)
IEEE DOI
1402
Piecewise Linear Dynamic Systems
BibRef
Urs, R.D.[Radu-Dragos],
da Costa, J.P.[Jean-Pierre],
Germain, C.[Christian],
Non-causal non-parametric multi-scale Markov Random Field synthesis
of volumetric textures from a unique 2D sample,
ICIP13(3181-3185)
IEEE DOI
1402
Markov Random Field
BibRef
Urs, R.D.[Radu-Dragos],
da Costa, J.P.[Jean-Pierre],
Leyssale, J.M.[Jean-Marc],
Vignoles, G.[Geerard],
Germain, C.[Christian],
Non-parametric synthesis of laminar volumetric textures from a 2D
sample,
BMVC12(54).
DOI Link
1301
BibRef
Hannemann, W.[Wilhelm],
Brock, T.[Tilman],
Texture Generation from a Large Set of Registered Images Using Markov
Random Fields,
3DIMPVT12(411-415).
IEEE DOI
1212
BibRef
Danudirdjo, D.[Donny],
Hirose, A.[Akira],
Synthesis of two-dimensional fractional brownian motion via circulant
embedding,
ICIP11(1085-1088).
IEEE DOI
1201
BibRef
Zhang, Y.[Yi],
Wang, S.[Shan],
Chen, J.Y.[Jin-Yan],
Zhang, J.W.[Jia-Wan],
Yang, P.[Peng],
Bilateral Filtering Based User-Controllable Multi-exemplars Texture
Synthesis,
ICIG11(868-872).
IEEE DOI
1109
BibRef
Gao, Q.[Qi],
Roth, S.[Stefan],
Texture Synthesis:
From Convolutional RBMs to Efficient Deterministic Algorithms,
SSSPR14(434-443).
Springer DOI
1408
BibRef
Schmidt, U.[Uwe],
Gao, Q.[Qi],
Roth, S.[Stefan],
A generative perspective on MRFs in low-level vision,
CVPR10(1751-1758).
IEEE DOI Video of talk:
WWW Link.
1006
BibRef
Siew, B.H.[Bee Hwa],
Talib, A.Z.[Abdullah Zawawi],
Visual Language Framework for Plant Modeling Using L-System,
IVIC09(696-707).
Springer DOI
0911
BibRef
Farooq, H.[Humera],
Zakaria, M.N.[M. Nordin],
Hassan, M.F.[Mohammed Fadzil],
Sulaiman, S.[Suziah],
An Approach to Derive Parametric L-System Using Genetic Algorithm,
IVIC09(455-466).
Springer DOI
0911
Computer graphics modeling system. Model plants.
BibRef
Stojanovic, A.[Aleksandar],
Wien, M.[Mathias],
Tan, T.K.[Thiow Keng],
Synthesis-in-the-loop for video texture coding,
ICIP09(2293-2296).
IEEE DOI
0911
BibRef
Jiang, J.L.[Ju-Lang],
Huang, Z.[Zhong],
Xue, F.[Feng],
Ou, C.S.[Chun-Sheng],
Fast Algorithm for Texture Synthesis on Surfaces,
CISP09(1-4).
IEEE DOI
0910
BibRef
He, X.H.[Xue-Hui],
Liu, Y.[Ying],
Wu, S.J.[Shun-Jun],
An Array Pattern Synthesis Method with the Constraint of Weight
Amplitude Dynamic Range,
CISP09(1-5).
IEEE DOI
0910
BibRef
Heess, N.[Nicolas],
Williams, C.K.I.[Christopher K.I.],
Hinton, G.E.[Geoffrey E.],
Learning generative texture models with extended Fields-of-experts,
BMVC09(xx-yy).
PDF File. Supplemental:
PDF File.
0909
BibRef
Khandelia, A.[Aditya],
Chaudhury, S.[Santanu],
Texture mapping based video compression scheme,
ICIP10(4001-4004).
IEEE DOI
1009
BibRef
Jha, M.K.,
Lall, B.,
Roy, S.D.,
Video Compression Scheme Using DEMD Based Texture Synthesis,
NCVPRIPG11(90-93).
IEEE DOI
1205
BibRef
Bansal, S.,
Chaudhury, S.[Santanu],
Lall, B.[Brejesh],
Parametric Video Compression Using Epitome Based Texture Synthesis,
NCVPRIPG11(94-97).
IEEE DOI
1205
BibRef
Khandelia, A.[Aditya],
Gorecha, S.[Saurabh],
Lall, B.[Brejesh],
Chaudhury, S.[Santanu],
Mathur, M.[Mona],
Parametric Video Compression Scheme Using AR Based Texture Synthesis,
ICCVGIP08(219-225).
IEEE DOI
0812
BibRef
Dong, J.Y.[Jun-Yu],
Duan, Y.X.[Yuan-Xu],
Sun, G.M.[Gui-Mei],
Qi, L.[Lin],
Texture synthesis by Support Vector Machines,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Feng, X.J.[Xiao-Jun],
Allebach, J.P.[Jan P.],
Segmented image interpolation using edge direction and texture
synthesis,
ICIP08(881-884).
IEEE DOI
0810
BibRef
Mantzel, W.[William],
Romberg, J.[Justin],
Capturing light field textures for video coding,
ICIP08(1604-1607).
IEEE DOI
0810
BibRef
Stojanovic, A.[Aleksandar],
Kosse, P.[Philipp],
Extended dynamic texture prediction for H.264/AVC inter coding,
ICIP10(2045-2048).
IEEE DOI
1009
BibRef
Stojanovic, A.[Aleksandar],
Wien, M.[Mathias],
Ohm, J.R.[Jens-Rainer],
Dynamic texture synthesis for H.264/AVC inter coding,
ICIP08(1608-1611).
IEEE DOI
0810
BibRef
Bajaj, C.[Chandrajit],
Zhang, Y.J.[Yong-Jie],
Xu, G.L.[Guo-Liang],
Physically-Based Surface Texture Synthesis Using a Coupled Finite
Element System,
GMP08(xx-yy).
Springer DOI
0804
BibRef
Sinha, A.[Arnab],
Gupta, S.[Sumana],
Nonparametric Markov random field order estimation and its application
in texture synthesis,
ICCVGIP10(405-411).
DOI Link
1111
BibRef
Earlier:
Approximation of Conditional Density of Markov Random Field and its
Application to Texture Synthesis,
ICIP07(III: 297-300).
IEEE DOI
0709
BibRef
Gimel'farb, G.L.[Georgy L.],
Zhou, D.X.[Dong-Xiao],
Accurate Identification of a Markov-Gibbs Model for Texture Synthesis
by Bunch Sampling,
CAIP07(979-986).
Springer DOI
0708
BibRef
Zhou, D.X.[Dong-Xiao],
Gimel'farb, G.L.[Georgy L.],
Bunch Sampling for Fast Texture Synthesis,
CAIP03(124-131).
Springer DOI
0311
BibRef
Gimel'farb, G.L.[Georgy L.],
Yu, L.J.[Lin-Jiang],
Zhou, D.X.[Dong-Xiao],
Geometric Structure and Randomness in Texture Analysis and Synthesis,
WTRCV02(137-142).
0204
BibRef
Chiou, J.W.[Jia-Wei],
Yang, C.K.[Chuan-Kai],
A New Algorithm for Solid Texture Synthesis,
ISVC06(II: 780-789).
Springer DOI
0611
BibRef
Zhang, X.Z.[Xiao-Zheng],
Gao, Y.S.[Yong-Sheng],
Leung, M.K.H.[Maylor K.H.],
Automatic Texture Synthesis for Face Recognition from Single Views,
ICPR06(III: 1151-1154).
IEEE DOI
0609
BibRef
Haindl, M.[Michal],
Hatka, M.[Martin],
Near-Regular BTF Texture Model,
ICPR10(2114-2117).
IEEE DOI
1008
BibRef
And:
Near-Regular Texture Synthesis,
CAIP09(1138-1145).
Springer DOI
0909
BibRef
Filip, J.[Jiri],
Haindl, M.[Michal],
Chetverikov, D.[Dmitry],
Fast Synthesis of Dynamic Colour Textures,
ICPR06(IV: 25-28).
IEEE DOI
0609
BibRef
Masiero, A.[Andrea],
Chiuso, A.[Alessandro],
Non Linear Temporal Textures Synthesis: A Monte Carlo Approach,
ECCV06(II: 283-294).
Springer DOI
0608
See also Dynamic Textures.
BibRef
Lefebvre, S.[Sylvain],
Darbon, J.[Jérome],
Neyret, F.[Fabrice],
Unified Texture Management for Arbitrary Meshes,
INRIARR-5210, 2004.
HTML Version.
BibRef
0400
Lefebvre, S.[Sylvain],
Hornus, S.[Samuel],
Neyret, F.[Fabrice],
All-Purpose Texture Sprites,
INRIARR-5209, 2004.
HTML Version.
BibRef
0400
Qin, X.J.[Xue-Jie],
Yang, Y.H.[Yee-Hong],
Basic Gray Level Aura Matrices:
Theory and its Application to Texture Synthesis,
ICCV05(I: 128-135).
IEEE DOI
0510
BibRef
Ni, J.,
Schneiderman, H.,
An Improved Texture Synthesis Algorithm Using Morphological Processing
with Image Analogy,
CMU-RI-TR-04-52, October, 2004.
HTML Version.
0501
BibRef
Lin, W.C.[Wen-Chieh],
Hays, J.H.[James H.],
Wu, C.Y.[Chen-Yu],
Liu, Y.X.[Yan-Xi],
Kwatra, V.[Vivek],
Quantitative Evaluation of Near Regular Texture Synthesis Algorithms,
CVPR06(I: 427-434).
IEEE DOI
0606
BibRef
Earlier: A1, A2, A3, A5, A4:
A Comparison Study of Four Texture Synthesis Algorithms on Regular and
Near-regular Textures,
CMU-RI-TR-04-01, January, 2004.
HTML Version.
0501
BibRef
Kwatra, V.,
Schodl, A.,
Essa, I.A., and
Bobick, A.F.,
GraphCut textures: image and video synthesis using graph cuts,
TOG(22), July 2003, pp. xx-yy.
BibRef
0307
Neubeck, A.[Alexander],
Zalesny, A.V.[Alexey V.],
Van Gool, L.J.[Luc J.],
Light Source Calibration for IBR and BTF Acquisition Setups,
3DPVT06(272-278).
IEEE DOI
0606
BibRef
Neubeck, A.,
Zalesny, A.V.,
Van Gool, L.J.,
Viewpoint consistent texture synthesis,
3DPVT04(388-395).
IEEE DOI
0412
BibRef
Wei, L.Y.,
Levoy, M.,
Fast Texture Synthesis Using Tree-Structured Vector Quantization,
SIGGraph-00(479-488). 2000.
BibRef
0001
Wang, Y.Z.[Yi-Zhou],
Zhu, S.C.[Song-Chun],
Modeling Textured Motion: Particle, Wave and Sketch,
ICCV03(213-220).
IEEE DOI
0311
Generative model for texture.
BibRef
Yu, Y.[Yue],
Luo, J.B.[Jie-Bo],
Chen, C.W.[Chang Wen],
Multiresolution block sampling-based method for texture synthesis,
ICPR02(I: 239-242).
IEEE DOI
0211
BibRef
Earlier:
Synthesis of Directional Texture Based on Multiresolution Block
Sampling and Constrained Block Movement,
ICIP01(II: 602-605).
IEEE DOI
0108
BibRef
Callieri, M.,
Cignonii, P.[Paolo],
Rocchini, C.,
Scopigno, R.[Roberto],
Weaver, an automatic texture builder,
3DPVT02(562-565).
IEEE DOI
0206
BibRef
Parada, P.,
Ruiz-del-Solar, J.,
Texture synthesis using image pyramids and self-organizing maps,
CIAP01(244-249).
IEEE DOI
0210
BibRef
Parada, P.,
Ruiz-del-Solar, J.,
Plagges, W.,
Koppen, M.,
Interactive texture synthesis,
CIAP01(434-439).
IEEE DOI
0210
BibRef
Lebanon, G.[Guy],
Bruckstein, A.M.[Alfred M.],
Designing Moiré Patterns,
EMMCVPR01(185-200).
Springer DOI
0205
BibRef
Deguy, S.,
Benassi, A.,
A Flexible Noise Model for Designing Maps,
VMV01(299-308).
PDF File.
0209
BibRef
Hiller, S.,
Deussen, O.,
Keller, A.,
Tiled Blue Noise Samples,
VMV01(xx-yy).
PDF File.
0209
BibRef
Efros, A.A.,
Freeman, W.T.,
Image Quilting for Texture Synthesis and Transfer,
SIGGraph-01(341-346), 2001.
DOI Link
PDF File.
BibRef
0100
Gousseau, Y.,
Texture Synthesis Through Level Sets,
Texture02(53-58).
0207
BibRef
Blot, L.,
Zwiggelaar, R.,
Synthesis and Analysis of Solid Texture: Application in Medical Imaging,
Texture02(9-14).
0207
BibRef
Lam, W.L.,
Zeng, B.,
Fast Texture Synthesis by Feature Matching,
ICIP01(II: 614-617).
IEEE DOI
0108
BibRef
Xu, Y.Q.,
Zhu, S.C.,
Guo, B.N.,
Shum, H.Y.,
Asymptotically Admissible Texture Synthesis,
SCTV01(xx-yy).
0106
BibRef
Efros, A.A.[Alexei A.],
Leung, T.K.[Thomas K.],
Texture Synthesis by Non-parametric Sampling,
ICCV99(1033-1038).
Award, ICCV Test of Time.
IEEE DOI
PDF File. and
HTML Version. Code:
See also Exemplar-based Texture Synthesis: the Efros-Leung Algorithm.
BibRef
9900
Heeger, D.J.,
Bergen, J.R.,
Pyramid-Based Texture Analysis/Synthesis,
ICIP95(III: 648-651).
IEEE DOI
9510
BibRef
And:
SIGGraph-95(229-238). 1995.
DOI Link
See also Heeger & Bergen Pyramid Based Texture Synthesis Algorithm, The.
BibRef
Sun, Y.,
Drew, M.,
Fracchia, F.,
Representing Spectral Functions by a Composite Model of Smooth and Spiky
Components for Efficient Full-Spectrum Photorealism,
PMCVG99(xx-yy).
BibRef
9900
de Bonet, J.S.[Jeremy S.],
Multiresolution Sampling Procedure for Analysis and
Synthesis of Texture Images,
SIGGraph-97(361-368). 1997.
PDF File.
BibRef
9700
Igehy, H.,
Pereira, L.,
Image Replacement Through Texture Synthesis,
ICIP97(III: 186-189).
IEEE DOI
BibRef
9700
Johnson, M.T.,
Desai, M.D.,
An adaptive approach for texture modelling,
ICIP94(III: 388-391).
IEEE DOI
9411
BibRef
Lewis, J.P.,
Texture and Shape Generation by Neural Network Creation Paradigm,
Graphics Interface91(xx-yy).
BibRef
9100
Randen, T.[Trygve],
Husøy, J.H.[John Håkon],
Least squares image texture analysis and synthesis,
Hogskolen i StavangerWorking Paper no. 197, 1994.
HTML Version.
See also Multichannel filtering for image texture segmentation.
BibRef
9400
Faugeras, O.D.,
Garber, D.D.,
Algebraic Reconstruction Techniques for Texture Synthesis,
ICPR80(783-785).
BibRef
8000
Garber, D.D.,
Sawchuk, A.A.,
Computational Models for Texture Analysis and Synthesis,
DARPA81(69-88).
BibRef
8100
Garber, D.D.,
Sawchuk, A.A.,
Texture Simulation Using a Best-Fit Model,
PRIP81(603-608).
BibRef
8100
Tou, J.T.,
Kao, D.B.,
Chang, Y.S.,
Pictorial Texture Analysis and Synthesis,
ICPR76(xx).
BibRef
7600
Tou, J.T.,
Chang, Y.S.,
Picture Understanding by Machine via Textural Feature Extraction,
PRIP77(392-399).
BibRef
7700
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Models for Texture Synthesis .