基于Style 3D针织运动装虚拟设计与应用

基于Style 3D虚拟服装试衣软件,通过对虚拟试衣技术现状的分析,以针织运动装作为虚拟试衣对象,从四个部分进行展开,包含人体建模,版片的三维排布与缝合,运动装面料仿真与试穿效果展示,以及驳样改款与模块组合。借助于三维面料扫描技术获取面料材质纹理和相关辅料配件,进一步丰富针织运动装的装饰效果。3D快速驳样改款和虚拟展示能有效地优化设计过程,针织运动装模块组合模拟应用适应快时尚节奏下改款搭配的需求,根据现有版型快速驳样改款亦是对传统设计与展示模式的一种突破。

Robust Information Hiding Based on Neural Style Transfer with Artificial Intelligence

This paper proposes an artificial intelligence-based robust information hiding algorithm to address the issue of confidential information being susceptible to noise attacks during transmission.The algorithm we designed aims to mitigate the impact of various noise attacks on the integrity of secret information during transmission.The method we propose involves encoding secret images into stylized encrypted images and applies adversarial transfer to both the style and content features of the original and embedded data.This process effectively enhances the concealment and imperceptibility of confidential information,thereby improving the security of such information during transmission and reducing security risks.Furthermore,we have designed a specialized attack layer to simulate real-world attacks and common noise scenarios encountered in practical environments.Through adversarial training,the algorithm is strengthened to enhance its resilience against attacks and overall robustness,ensuring better protection against potential threats.Experimental results demonstrate that our proposed algorithm successfully enhances the concealment and unknowability of secret information while maintaining embedding capacity.Additionally,it ensures the quality and fidelity of the stego image.The method we propose not only improves the security and robustness of information hiding technology but also holds practical application value in protecting sensitive data and ensuring the invisibility of confidential information.

Correlation of personality with individual reproductive success in shrub-nesting birds depends on their life history style

Two questions in the research of animal personality—whether there is a correlation between a personality trait and individual reproductive success,and what is the genetic basis underlying a personality trait—remain unresolved.We addressed these two questions in three shrub-nesting birds,the Azure-winged Magpie(Cyanopica cyanus,AM),White-collared Blackbird(Turdus albocinctus,WB),and Brown-cheeked Laughingthrush(Trochalopteron henrici,BL).The personality type of an individual was first identified according to its response to a territorial intruder.Then,we compared the fleeing distance,breeding parameters,and differential expressed genes(DEGs) in the brain transcriptome between bold and shy breeders.In the three species,bold breeders exhibited more aggressiveness towards an intruder of their territory than did shy breeders.The reproductive success of bold breeders was significantly higher than that of shy breeders in AM but not in WB and BL.The three species shared one DEG,crabp1,which was up-regulated in bold relative to in shy individuals.By regulating the expression of corticotropin-releasing hormone,higher crabp1 gene expression can decrease cellular response to retinoic acid.Therefore,bold individuals are insensitive to external stresses and able to exhibit more aggressiveness to intruders than their shier counterparts.Aggressiveness is beneficial to bold individuals in AM but not in WB and BL because the former could evoke neighbors to make the same response of defending against intruders but the latter could not.Although a personality trait may have the same genetic basis across species,its correlation with reproductive success depends largely on the life history style of a species.

Genetic Analysis of Structural Styles in the Makran Accretionary Wedge–Insight from Physical Simulations

The Makran accretionary wedge has the smallest subduction angle among any accretionary prism in the world. The factors controlling the spacing and morphological development of its deep thrust faults, as well as the formation mechanism of shallow normal faults, remain unclear. Meanwhile, the factors affecting the continuity of plane faults must be comprehensively discussed. Clarifying the development characteristics and deformation mechanisms of the Makran accretionary wedge is crucial to effectively guide the exploration of gas hydrate deposits in the area. This study aims to interpret seismic data to identify typical structures in the Makran accretionary wedge, including deep imbricate thrust faults, shallow and small normal faults, wedge-shaped piggyback basins, mud diapirs with fuzzy and disorderly characteristics of reflection, décollements with a northward tilt of 1° – 2°, and large seamounts. Physical simulation-based experiments are performed to comprehensively analyze the results of the plane, section, and slices of the wedge. Results reveal that the distances between and shapes of thrust faults in the deep parts of the Makran accretionary wedge are controlled by the bottom décollement. The uplift of the thrust fault-related folds and the upwelling of the mud diapirs primarily contribute to the formation of small normal faults in the shallow part of the area. The mud diapirs originate from plastic material at the bottom, while those that have developed in the area near the trench are larger. Seamounts and mud diapirs break the continuity of fault plane distribution.

Impact of parenting styles on preschoolers’behaviors

In this editorial,I comment on the article“Association of preschool children behavior and emotional problems with the parenting behavior of both parents”which was published in the latest issue of“World Journal of Clinical Cases”that demonstrates the prevalence of behavioral disorders in preschool children.Therefore I am focused on parenting which is the most effective factor shown to affect the development and continuity of these behaviors.The management of child behavior problems is crucial.Children in early ages,especially preschoolers who are in the first 5 years of life,are influenced by dramatic changes in various aspects of development,such as social,emotional,and physical.Also,children experience many changes linked to different developmental tasks,such as discovering themselves,getting new friendships,and adapting to a new environment.In this period,parents have a critical role in supporting child development.If parents do not manage and overcome their child’s misbehavior,it could be transformed into psychosocial problems in adulthood.Parenting is the most powerful predictor in the social development of preschool children.Several studies have shown that to reduce the child’s emotional and behavioral problems,a warm relationship between parents and children is needed.In addition,recent studies have demonstrated significant relationships between family regulation factors and parenting,as well as with child behaviors.

基于Style-GAN瑶族景观导识系统设计研究

目的为提升生成对抗网络在非遗景观导识系统中的创新应用,进而强化瑶族地方文化传播属性。方法首先对导识系统各要素和瑶族地方文化特性进行分类和归纳,运用模糊层次分析法(FAHP)对导识系统各设计要素和风格特征进行权重分配;其次,将评分较高的导识系统设计要素和风格特征构建映射矩阵;最后,将选定的风格特征融入风格生成对抗网络(Style-GAN)以辅助瑶族景观导识系统设计。结果本研究集成了多领域跨学科交叉理论模型,将FAHP与Style-GAN相融合,重构地方文化产业的导识交互系统。结论通过以瑶族刺绣为案例,其传统纹样与人工智能技术的有机结合可有效促进当地文化的传承。该研究也为文化导识系统整合设计及相关语义提炼提供了创新视野。

A Harmonic Approach to Handwriting Style Synthesis Using Deep Learning

The challenging task of handwriting style synthesis requires capturing the individuality and diversity of human handwriting.The majority of currently available methods use either a generative adversarial network(GAN)or a recurrent neural network(RNN)to generate new handwriting styles.This is why these techniques frequently fall short of producing diverse and realistic text pictures,particularly for terms that are not commonly used.To resolve that,this research proposes a novel deep learning model that consists of a style encoder and a text generator to synthesize different handwriting styles.This network excels in generating conditional text by extracting style vectors from a series of style images.The model performs admirably on a range of handwriting synthesis tasks,including the production of text that is out-of-vocabulary.It works more effectively than previous approaches by displaying lower values on key Generative Adversarial Network evaluation metrics,such Geometric Score(GS)(3.21×10^(-5))and Fréchet Inception Distance(FID)(8.75),as well as text recognition metrics,like Character Error Rate(CER)and Word Error Rate(WER).A thorough component analysis revealed the steady improvement in image production quality,highlighting the importance of specific handwriting styles.Applicable fields include digital forensics,creative writing,and document security.

基于半监督学习的StyleGAN图像生成模型

StyleGAN是一种基于生成对抗网络的图像生成方法,它在图像生成领域占据着重要的地位。但传统的StyleGAN生成图片质量依赖于训练集样本质量,当训练集图片质量较低时,StyleGAN往往不能很好发挥作用。针对此问题,本文提出一种基于半监督的StyleGAN模型(SG-GAN)。对于单个图片的生成,首先根据StyleGAN模型中w向量和图像的一一对应关系,生成训练样本并导入支持向量机(SVM)进行训练。然后,利用SVM和StyleGAN的mapping network在每次生成图像前对w向量进行筛选,挑选合格的w向量生成图像,以提高生成图像质量。对于批量图片的生成,首先经过基因向量生成器生成基因向量并随机组合在一起,采用动态循环回溯算法求得风格向量的所有排列,根据排列结果产生交配后的个体,最后,经过评价函数进行个体的筛选,在模型的多次迭代后,最终找到更加优秀的个体。本文在公开数据集上与几种先进同类方法进行了对比实验,实验结果表明:在lsun猫脸数据集上,模型FID2.74的准确率最高可达74.2%,召回率可达51.2%。经验证,该模型在lsun数据集上的准确率明显优于StyleGAN模型,进一步证实了该模型的有效性。同时,模型在Cat Dataset,CIFAR-100和ImageNet数据集上均达到70%以上的准确率,从而验证了模型具有不错的泛化性。

基于Style 3D虚拟仿真技术的袖子样板设计

袖子作为服装结构中的重要部分,绘制样板不仅要考虑人体尺寸,还要考虑面料特性和服装整体造型的美观性。为了设计出更符合要求的袖子样板,运用二维CAD调整袖山吃势和袖山高,绘制不同的袖子造型结构图,将绘制的二维样板导入Style 3D系统进行模特虚拟试穿,直观地体现不同袖子结构穿着效果。Style 3D虚拟仿真技术为服装样板设计提供了很好的验证方法,对比样衣制作节省了90%的时间,同时节省了人力和原材料成本。此外,服装3D虚拟设计方法还可以运用至高校技术研发和教学,为服装行业实现碳达峰、碳中和提供思路。

基于Style 3D的一片袖造型结构变化设计应用

衣袖的结构变化非常丰富,不同的结构可以给服装带来不同的穿着效果。通过分析一片袖的特征及结构设计要素,利用Style 3D虚拟试衣技术实现衣袖和衣身的组合设计,可提高服装结构设计的效率,较为具象化地展现了衣袖结构变化对服装款式设计的影响。

基于NS-StyleGAN2的鱼类图像扩充方法

图像多分类领域中经常出现类别不平衡问题,这会对分类模型的学习训练产生负面影响。通过对样本数量较少的类别进行扩充可以有效解决类别不平衡问题。生成对抗网络作为近年来新兴的一种神经网络,输入真实图像样本训练可以输出与真实样本非常相似的生成样本。根据此特性,本文结合第二代样式生成对抗网络(StyleGAN2)的设计思想与鱼类图像的特点,设计一种噪声抑制样式生成对抗网络NS-StyleGAN2(Noise-Suppressed Style Generative Adversarial Networks 2)。NS-StyleGN2去除了StyleGAN2合成网络中低分辨率层的噪声输入,从而抑制低分辨率层的噪声权重,使StyleGAN2生成样本细节特征更逼近真实样本特征。采用202张鲢鱼图像进行训练,本文提出的方法在起始分数、弗雷歇起始距离、内核起始距离得分等方面均优于DCGAN、WGAN、StyleGAN2,表明该方法可以有效进行图像扩充。

基于Style3D技术的女装翻驳领结构优化

为优化女装翻驳领款式结构,提高制版效率,以标准女体为基型,在胸围量加放8 cm的基础上配置翻驳领。通过基础领圈配伍因素及其结构设计分析,采用影射结构制图法,分领座配置方式缩短翻折线,使成形后的领型更符合颈部结构。应用Style3D技术验证翻驳领影射结构制图的合理性,通过压力系统测试不同领腰高、不同翻领宽、不同翻折线收缩量组合下领成形后的舒适度,并得出适合较合体女外套衣领翻折线收缩量的取值,为优化衣领的结构设计提供参考。

基于Style3D的皮革面料虚实悬垂性对比

基于Style3D三维虚拟制衣软件,参考真实面料的悬垂性实验搭建虚拟悬垂实验环境并进行研究,对比两者悬垂差异从而验证皮革面料虚拟悬垂的可行性。利用XDP-1悬垂仪进行真实面料悬垂实验,获取真实面料悬垂图像;采用Style3D和3D MAX建立虚拟实验平台获取虚拟面料悬垂图像;通过MATLAB对真实和虚拟悬垂图像提取8个悬垂指标并进行对比研究。结果表明,真实与虚拟面料在波数和波峰幅值均匀度方面的渐进显著性在0.6以上,具有较高相关性;两者悬垂形状较为接近,但虚拟面料比真实面料的悬垂形态更均匀。

基于StyleGAN的草图生成产品设计效果图方法研究

目的解决当前产品设计表达中存在对设计师要求高、设计思维具有局限性、设计周期长等问题。方法提出基于StyleGAN的草图快速生成产品效果图像的方法,该方法利用图像变形技术,将不同程度的产品草图生成真实产品效果图像。结果该方法可有效地满足设计师创作需求,也能为没有绘画基础的用户生成高质量的产品设计方案。结论将基于深度学习的StyleGAN模型应用于草图生成真实产品效果图像中,能快速、高效地完成产品设计表达过程,为产品设计表达提供了一个基于深度学习技术的参考框架,也是传统产品设计在人工智能时代的一次创新性探索。

基于Style3D 技术的虚拟服装设计方法

基于国家“十四五”数字经济发展规划,时尚行业加速数字化转型,虚拟服装逐渐成为服装品牌新兴的发展领域。以虚拟服装设计方法为研究对象,借助Style 3D数字技术并结合国潮时装实际设计案例,重点阐述了虚拟国潮时装的数字化设计方法及建模流程。研究表明,虚拟服装设计方法相较于传统服装设计更具有高效性、创新性、环保性及社交性,可为服装企业产品开发与革新开拓设计思路,提供理论依据。

Style 3D虚拟仿真软件在服装设计课程教学中的应用

文章首先对服装设计专业虚拟仿真教学发展趋势及所使用的3D软件进行概述,其次结合虚拟仿真实践教学案例与教学成果进一步分析,提出“新文科”背景下需改革传统的服装设计课程模式,以增强学生综合艺术素质,提升课程实效性与教学质量效果。

基于Style 3D“国潮”旗袍研究与设计

旗袍本身塑造了经典的国潮元素。在“国潮风”盛行的趋势下,旗袍与其他传统元素经过文化耦合的过程形成改良旗袍,以现代时尚设计的方式延续着中国文化精神,保持了传统服装的时代气息与审美活力。文章运用个案分析、理论研究与设计实践并行的方法对“国潮”旗袍进行图案元素与款式特征的梳理与总结,并在Style 3D中进行数字化虚拟试衣,还原“国潮”旗袍设计的真实效果。根据服装品牌的调研发现,“国潮”旗袍突出艺术特征的表现形式主要集中在国潮图案元素的应用及旗袍款式的改良。“国潮”旗袍的图案题材大多取自中国传统纹样、神话故事、古建筑文化等,以独特的方式展现一个国家灿烂的文化遗产,同时表达了文化认同的强烈情感。通过对“国潮”旗袍图案元素“具象化、生活化、故事化”再设计,重塑旗袍的新时代审美与气质形象,让传统服饰更好地融入大众生活,推动旗袍的良性发展。此外,“国潮”旗袍款式的改良主要在基础廓形上进行修改,以中西联袂的典型裁剪方式探索并赋予传统旗袍独特的风格。

PP-GAN:Style Transfer from Korean Portraits to ID Photos Using Landmark Extractor with GAN

The objective of style transfer is to maintain the content of an image while transferring the style of another image.However,conventional methods face challenges in preserving facial features,especially in Korean portraits where elements like the“Gat”(a traditional Korean hat)are prevalent.This paper proposes a deep learning network designed to perform style transfer that includes the“Gat”while preserving the identity of the face.Unlike traditional style transfer techniques,the proposed method aims to preserve the texture,attire,and the“Gat”in the style image by employing image sharpening and face landmark,with the GAN.The color,texture,and intensity were extracted differently based on the characteristics of each block and layer of the pre-trained VGG-16,and only the necessary elements during training were preserved using a facial landmark mask.The head area was presented using the eyebrow area to transfer the“Gat”.Furthermore,the identity of the face was retained,and style correlation was considered based on the Gram matrix.To evaluate performance,we introduced a metric using PSNR and SSIM,with an emphasis on median values through new weightings for style transfer in Korean portraits.Additionally,we have conducted a survey that evaluated the content,style,and naturalness of the transferred results,and based on the assessment,we can confidently conclude that our method to maintain the integrity of content surpasses the previous research.Our approach,enriched by landmarks preservation and diverse loss functions,including those related to“Gat”,outperformed previous researches in facial identity preservation.

Personality Traits, Thinking Styles, and Emotional Intelligence in Nursing, towards Healthcare Providers’ Characterization and Safer Patient Care

Background: This study explored nursing personality traits (Big Five Inventory BFI), emotional intelligence (EI), and thinking styles (Rational, RS, and Experiential, ES) together with demographic data to see how they could relate and the implication of this on nurses and patient safety. Design: A cross-sectional study. Methods: Nursing sample (n = 435). Participants completed a self-report online survey, which included demographic information, followed by questionnaires to measure personality traits, thinking styles, and emotional intelligence. Results: Spearman’s rank correlation was computed to assess the relationship between EI and Extraversion;there was a moderate positive correlation between the two variables, r = 0.487, p r = 0.731, p r = 0.723, p r = -0.666, p r = 0.467, p Conclusion: Different studies consolidated each other, and all converge and channel into the concept of characterization of healthcare providers for better support to them and safer patient care. EI correlated with all BFI components, and both positively impacted all desirable behaviors. Therefore, it would be valuable if organizations invested in increasing EI in their providers as it might highlight areas for improvement and equip providers with appropriate and advantageous coping strategies.

Style3D软件课程教师“能力”培养模式的实践建构

Style3D软件教师培训项目是为了培养服装设计教师的数字化专业综合能力。教师能力培养是提升专业教学质量的有效途径,教师培训是专业建设的重要环节。构建教师“能力”培养模式,有利于指导培训过程,提高培训质量。本文分析了Style3D软件的性质及其涉及的知识范畴,分解了Style3D软件所需的操作能力类型,并根据能力框架提出的要素构建教师能力培养模式。本文认为,根据能力培养的要求选拔培训对象,按照能力培养的策略执行培训计划,严格按照培训考核标准进行评估,才能构建良好的培训环境。