Results 41 to 50 of about 248,404 (280)

GAGCN: Generative adversarial graph convolutional network for non‐homogeneous texture extension synthesis

IET Image Processing, 2023
In the non‐homogeneous texture synthesis task, the overall visual characteristics should be consistent when extending the local patterns of the exemplar.
Shasha Xie, Wenhua Qian, Rencan Nie, Dan Xu, Jinde Cao   +4 more
doaj   +1 more source

High quality solid texture synthesis using position and index histogram matching [PDF]

, 2010
International audienceThe synthesis quality is one of the most important aspects in solid texture synthesis algorithms. In recent years several methods are proposed to generate high quality solid textures.
Chen, Jiating, Wang, Bin
core   +3 more sources

Statistical Invariance for Texture Synthesis

IEEE Transactions on Visualization and Computer Graphics, 2012
Estimating illumination and deformation fields on textures is essential for both analysis and application purposes. Traditional methods for such estimation usually require complicated and sometimes labor-intensive processing. In this paper, we propose a new perspective for this problem and suggest a novel statistical approach which is much simpler and ...
Liu, Xiaopei., Jiang, Lei., Wong, Tien-Tsin., Fu, Chi-Wing.   +3 more
openaire   +3 more sources

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

Advanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi, Pasquale Guglielmi, Gianfranco Palumbo, Giuseppe Carbone   +3 more
wiley   +1 more source

Texture Dataset Generator With Repeatable Patterns From a Single Sample Applied to Historical Tiles From Belém, Pará, Brazil

IEEE Open Journal of the Computer Society
Machine Learning (ML) algorithms require large datasets, often costly to create. This work proposes a generator model that builds synthetic texture datasets by synthesizing repeatable patterns from a single example.
Rafael de Lima Rocha, Carlos Gustavo Resque dos Santos   +1 more
doaj   +1 more source

Texture Synthesis based on Feature Description

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
Patch-based texture synthesis techniques from a small sample texture generate a new texture image efficiently, but one significant problem is that these existing texture synthesis algorithms suffer from structure mismatching across patch boundaries due ...
Yan GUI, Mingang CHEN, Zhifeng XIE, Lizhuang MA, Zhihua CHEN   +4 more
doaj   +1 more source

Perception Driven Texture Generation

, 2017
This paper investigates a novel task of generating texture images from perceptual descriptions. Previous work on texture generation focused on either synthesis from examples or generation from procedural models.
Chi, Huifang, Dong, Junyu, Gan, Yanhai, Gao, Ying, Liu, Jun, Zhong, Guoqiang   +5 more
core   +1 more source

Synthesis of a Novel Thermoresponsive S53P4 Bioactive Glass Extract–Poloxamer 407 Injectable Hydrogels: Assessment of Biocompatibility and Antimicrobial Properties

Advanced Engineering Materials, EarlyView.
This study investigates innovative thermoreversible hydrogels derived from S53P4 bioactive glass extracts to aid in the healing of infected diabetic foot wounds. These injectable gels, which gel at body temperature, release beneficial ions and remain stable over time.
Marian G. Vargas Guerrero, Adrian Stiller, Alex Nygård, Matej Krivulka, Lars Galema, Erwin Peters, Jimmy Lucchesi, Peter Uppstu, Leena Hupa, Jacobus J. C. Arts   +9 more
wiley   +1 more source

FEDNet: A feature-enhanced diffusion network for efficient and universal texture synthesis

Computational Visual Media
Texture synthesis remains challenging due to the complex and varied nature of texture characteristics. To address this issue, this paper introduces a feature-enhanced diffusion network, FEDNet, which achieves both fidelity and diversity through two core ...
Haichuan Song, Xinyi Chen, Sylvain Lefebvre   +2 more
doaj   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source