张爱玲是中国文学史上的传奇人物,以其独特华丽的文学造诣为读者所熟知。同时她也是一位双语作家兼翻译大家,惯于翻译自己创作的文学作品。以接受理论为指导,对张爱玲的英语散文Chinese Life and Fashions及其自译本《更衣记》进行详细...张爱玲是中国文学史上的传奇人物,以其独特华丽的文学造诣为读者所熟知。同时她也是一位双语作家兼翻译大家,惯于翻译自己创作的文学作品。以接受理论为指导,对张爱玲的英语散文Chinese Life and Fashions及其自译本《更衣记》进行详细的比较研究,凸显译者在翻译活动中的核心地位。展开更多
Some management concepts come and go,some become classics.Management Fashion Theory provides insights of how management fashions can be distinguished and recognized.This article illustrates the characteristic features...Some management concepts come and go,some become classics.Management Fashion Theory provides insights of how management fashions can be distinguished and recognized.This article illustrates the characteristic features of the theory using the example of the concept of“New Work”.展开更多
Under the starry night,a fashion extravaganza was staged in Lhasa.The Fashion Night is a local fashion show in Xizang combining tradition and innovation as well as modernity and international flavor.By providing them ...Under the starry night,a fashion extravaganza was staged in Lhasa.The Fashion Night is a local fashion show in Xizang combining tradition and innovation as well as modernity and international flavor.By providing them with opportunities to present their art works to more audiences,it built a platform for young Tibetan designers for their careers to take root and blossom on the plateau.It is also aimed to bring more people to pay attention to the fashion culture of Xizang,and infuse new vitality into the development of local fashion industry.展开更多
Spring is the time for new life.The 2025 China Fashion Week(Spring)commenced on March 28th.This event focused on culture,creativity,andchanges in the fashion industry.The event featured nearly 230 brands and 270 desig...Spring is the time for new life.The 2025 China Fashion Week(Spring)commenced on March 28th.This event focused on culture,creativity,andchanges in the fashion industry.The event featured nearly 230 brands and 270 designers from l2 coun-tries,showcasing an impressive array of new products and over l60 fashionshowed,highlighting the vibrant creativity of Chinese design.展开更多
Axel Pons,once a Moto2 World Championship competitor,made a big lifestyle change several years ago when he decided to travel the world barefoot.He's the son of Sito Pons,who has been a MotoGP winner twice.At the s...Axel Pons,once a Moto2 World Championship competitor,made a big lifestyle change several years ago when he decided to travel the world barefoot.He's the son of Sito Pons,who has been a MotoGP winner twice.At the start of his motorcycle-racing career,there were high expectations and a lot of pressure on him.In the Moto2 World Championship,he had some good results,with a 16th-place finish in 2016 being his best.But then he took a break from racing and tried fashion modeling.In 2019,he said he wanted to slow down and leave his past behind.But no one expected the kind of change that was coming.展开更多
At the Tokyo Fashion Week 2025,the final show-case featured Tamme,a newly established Japanesedesigner brand,garnering significant attention from theglobal fashion community.Tamme utilized textile ma-terials from FLYT...At the Tokyo Fashion Week 2025,the final show-case featured Tamme,a newly established Japanesedesigner brand,garnering significant attention from theglobal fashion community.Tamme utilized textile ma-terials from FLYTEC,a Chinese company specializingin functional fabrics and smart wearable products.展开更多
Thanks to the development of the digital economy and green eco“nomy,the clothing industry is undergoing disruptive changes:sustainable fashion has shifted from a bonus point”to a.basic requirement.According to the“...Thanks to the development of the digital economy and green eco“nomy,the clothing industry is undergoing disruptive changes:sustainable fashion has shifted from a bonus point”to a.basic requirement.According to the“2025-2030 Fashion Clothing Industry Development Trend Analysis and Future Investment Strategy Consulting Research Report”.展开更多
This study explores vegan leather,an eco-friendly substitute for conventional animal-derived leather.Using materials like polyurethane,pineapple leaves,cork,and recycled plastics,vegan leather aims to transform the fa...This study explores vegan leather,an eco-friendly substitute for conventional animal-derived leather.Using materials like polyurethane,pineapple leaves,cork,and recycled plastics,vegan leather aims to transform the fashion industry and consumer products while addressing environmental concerns.Despite its advantages,challenges related to availability and durability persist.Theboomingmarket for vegan leather is expected to reach billions of dollars,reflecting a broader societal shift towards sustainable and cruelty-free alternatives.The review traces the historical development of vegan leather fromits origins in Germany to modern innovations likeMylo and Pinatex.By comparing these materials to conventional leather,the study assesses their potential to replace animal-derived leather.Looking at different types of sustainable leather,like synthetic,plant-based,mycelium,and collagen-based leather,shows how they connect with being environmentally friendly and made from natural materials.The ultimate aim is to contribute to ongoing discussions about transitioning to a circular economy,where durable bio-based and biodegradable materials offer a promising future for sustainable leather alternatives.展开更多
A young artist reinvents an old sartorial skill from rural ethnic communities into globally recognized high fashion.LACKING a unified writing system,the ancestors of the Miao people,an ethnic group primarily living in...A young artist reinvents an old sartorial skill from rural ethnic communities into globally recognized high fashion.LACKING a unified writing system,the ancestors of the Miao people,an ethnic group primarily living in mountainous areas in central and southwestern China,encoded their history in the exquisite design of traditional clothing,especially embroidery.They express reverence for nature and appreciation of life with needles and threads.展开更多
When discussing iconic Chinese cashmere brands,ERDOS is alwaysat the center of the conversation.Once famous across China for its slogan,"ERDOS brings warmth to all,"the traditional brand has now embarked on ...When discussing iconic Chinese cashmere brands,ERDOS is alwaysat the center of the conversation.Once famous across China for its slogan,"ERDOS brings warmth to all,"the traditional brand has now embarked on a journey of moderniza-tion and stylish reinvention.展开更多
Accurate detection of fashion design attributes is essential for trend analyses and recommendation systems.Among these attributes,the neckline style plays a key role in shaping garment aesthetics.However,the presence ...Accurate detection of fashion design attributes is essential for trend analyses and recommendation systems.Among these attributes,the neckline style plays a key role in shaping garment aesthetics.However,the presence of complex backgrounds and varied body postures in real-world fashion images presents challenges for reliable neckline detection.To address this problem,this research builds a comprehensive fashion neckline database from online shop images and proposes an efficient fashion neckline detection model based on the YOLOv8 architecture(FN-YOLO).First,the proposed model incorporates a BiFormer attention mechanism into the backbone,enhancing its feature extraction capability.Second,a lightweight multi-level asymmetry detector head(LADH)is designed to replace the original head,effectively reducing the computational complexity and accelerating the detection speed.Last,the original loss function is replaced with Wise-IoU,which improves the localization accuracy of the detection box.The experimental results demonstrate that FN-YOLO achieves a mean average precision(mAP)of 81.7%,showing an absolute improvement of 3.9%over the original YOLOv8 model,and a detection speed of 215.6 frame/s,confirming its suitability for real-time applications in fashion neckline detection.展开更多
Background The annotation of fashion images is a significantly important task in the fashion industry as well as social media and e-commerce.However,owing to the complexity and diversity of fashion images,this task en...Background The annotation of fashion images is a significantly important task in the fashion industry as well as social media and e-commerce.However,owing to the complexity and diversity of fashion images,this task entails multiple challenges,including the lack of fine-grained captions and confounders caused by dataset bias.Specifically,confounders often cause models to learn spurious correlations,thereby reducing their generalization capabilities.Method In this work,we propose the Deconfounded Fashion Image Captioning(DFIC)framework,which first uses multimodal retrieval to enrich the predicted captions of clothing,and then constructs a detailed causal graph using causal inference in the decoder to perform deconfounding.Multimodal retrieval is used to obtain semantic words related to image features,which are input into the decoder as prompt words to enrich sentence descriptions.In the decoder,causal inference is applied to disentangle visual and semantic features while concurrently eliminating visual and language confounding.Results Overall,our method can not only effectively enrich the captions of target images,but also greatly reduce confounders caused by the dataset.To verify the effectiveness of the proposed framework,the model was experimentally verified using the FACAD dataset.展开更多
A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such...A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such as casual and athletic styles,and consider attributes like color and texture when selecting outfits.To achieve personalized outfit recommendations in line with user style preferences,this paper proposes a personal style guided outfit recommendation with multi-modal fashion compatibility modeling,termed as PSGNet.Firstly,a style classifier is designed to categorize fashion images of various clothing types and attributes into distinct style categories.Secondly,a personal style prediction module extracts user style preferences by analyzing historical data.Then,to address the limitations of single-modal representations and enhance fashion compatibility,both fashion images and text data are leveraged to extract multi-modal features.Finally,PSGNet integrates these components through Bayesian personalized ranking(BPR)to unify the personal style and fashion compatibility,where the former is used as personal style features and guides the output of the personalized outfit recommendation tailored to the target user.Extensive experiments on large-scale datasets demonstrate that the proposed model is efficient on the personalized outfit recommendation.展开更多
Yesterday,Lectra,a leading supplier of industrial intelligent technology solutions for the fashion,automotive,and furniture industries,successfully held the Valia Fashion new product launch event in Shanghai.Numerous ...Yesterday,Lectra,a leading supplier of industrial intelligent technology solutions for the fashion,automotive,and furniture industries,successfully held the Valia Fashion new product launch event in Shanghai.Numerous industry leaders,experts,scholars,and media participated in this event to communicate the future trends of fashion manufacturing and witness the heavyweight release of a new intelligent digital platform-Valia Fashion.The launch of this platform is not only an important milestone for Lectra to promote intelligent upgrading in the industry,but also marks a new era of fashion manufacturing centered on data-driven,collaborative efficiency,and sustainable development.展开更多
Tokyo,Japan–FaW TOKYO(FASHION WORLD TOKYO),the renowned international fashion trade show,is gearing up for its spring edition,promising an exciting showcase of global fashion trends,technology innovations,and traditi...Tokyo,Japan–FaW TOKYO(FASHION WORLD TOKYO),the renowned international fashion trade show,is gearing up for its spring edition,promising an exciting showcase of global fashion trends,technology innovations,and traditional craftsmanship.From April 17-19,Tokyo Big Sight in Japan gathers a diverse array of international exhibitors and highlighting the best of Japanese fashion excellence.展开更多
文摘Some management concepts come and go,some become classics.Management Fashion Theory provides insights of how management fashions can be distinguished and recognized.This article illustrates the characteristic features of the theory using the example of the concept of“New Work”.
文摘Under the starry night,a fashion extravaganza was staged in Lhasa.The Fashion Night is a local fashion show in Xizang combining tradition and innovation as well as modernity and international flavor.By providing them with opportunities to present their art works to more audiences,it built a platform for young Tibetan designers for their careers to take root and blossom on the plateau.It is also aimed to bring more people to pay attention to the fashion culture of Xizang,and infuse new vitality into the development of local fashion industry.
文摘Spring is the time for new life.The 2025 China Fashion Week(Spring)commenced on March 28th.This event focused on culture,creativity,andchanges in the fashion industry.The event featured nearly 230 brands and 270 designers from l2 coun-tries,showcasing an impressive array of new products and over l60 fashionshowed,highlighting the vibrant creativity of Chinese design.
文摘Axel Pons,once a Moto2 World Championship competitor,made a big lifestyle change several years ago when he decided to travel the world barefoot.He's the son of Sito Pons,who has been a MotoGP winner twice.At the start of his motorcycle-racing career,there were high expectations and a lot of pressure on him.In the Moto2 World Championship,he had some good results,with a 16th-place finish in 2016 being his best.But then he took a break from racing and tried fashion modeling.In 2019,he said he wanted to slow down and leave his past behind.But no one expected the kind of change that was coming.
文摘At the Tokyo Fashion Week 2025,the final show-case featured Tamme,a newly established Japanesedesigner brand,garnering significant attention from theglobal fashion community.Tamme utilized textile ma-terials from FLYTEC,a Chinese company specializingin functional fabrics and smart wearable products.
文摘Thanks to the development of the digital economy and green eco“nomy,the clothing industry is undergoing disruptive changes:sustainable fashion has shifted from a bonus point”to a.basic requirement.According to the“2025-2030 Fashion Clothing Industry Development Trend Analysis and Future Investment Strategy Consulting Research Report”.
文摘This study explores vegan leather,an eco-friendly substitute for conventional animal-derived leather.Using materials like polyurethane,pineapple leaves,cork,and recycled plastics,vegan leather aims to transform the fashion industry and consumer products while addressing environmental concerns.Despite its advantages,challenges related to availability and durability persist.Theboomingmarket for vegan leather is expected to reach billions of dollars,reflecting a broader societal shift towards sustainable and cruelty-free alternatives.The review traces the historical development of vegan leather fromits origins in Germany to modern innovations likeMylo and Pinatex.By comparing these materials to conventional leather,the study assesses their potential to replace animal-derived leather.Looking at different types of sustainable leather,like synthetic,plant-based,mycelium,and collagen-based leather,shows how they connect with being environmentally friendly and made from natural materials.The ultimate aim is to contribute to ongoing discussions about transitioning to a circular economy,where durable bio-based and biodegradable materials offer a promising future for sustainable leather alternatives.
文摘A young artist reinvents an old sartorial skill from rural ethnic communities into globally recognized high fashion.LACKING a unified writing system,the ancestors of the Miao people,an ethnic group primarily living in mountainous areas in central and southwestern China,encoded their history in the exquisite design of traditional clothing,especially embroidery.They express reverence for nature and appreciation of life with needles and threads.
文摘When discussing iconic Chinese cashmere brands,ERDOS is alwaysat the center of the conversation.Once famous across China for its slogan,"ERDOS brings warmth to all,"the traditional brand has now embarked on a journey of moderniza-tion and stylish reinvention.
基金Fundamental Research Funds for the Central Universities,China(Nos.2232020G-08 and 2232020E-03)Shanghai University Knowledge Service Platform,China(No.13S107024)。
文摘Accurate detection of fashion design attributes is essential for trend analyses and recommendation systems.Among these attributes,the neckline style plays a key role in shaping garment aesthetics.However,the presence of complex backgrounds and varied body postures in real-world fashion images presents challenges for reliable neckline detection.To address this problem,this research builds a comprehensive fashion neckline database from online shop images and proposes an efficient fashion neckline detection model based on the YOLOv8 architecture(FN-YOLO).First,the proposed model incorporates a BiFormer attention mechanism into the backbone,enhancing its feature extraction capability.Second,a lightweight multi-level asymmetry detector head(LADH)is designed to replace the original head,effectively reducing the computational complexity and accelerating the detection speed.Last,the original loss function is replaced with Wise-IoU,which improves the localization accuracy of the detection box.The experimental results demonstrate that FN-YOLO achieves a mean average precision(mAP)of 81.7%,showing an absolute improvement of 3.9%over the original YOLOv8 model,and a detection speed of 215.6 frame/s,confirming its suitability for real-time applications in fashion neckline detection.
文摘Background The annotation of fashion images is a significantly important task in the fashion industry as well as social media and e-commerce.However,owing to the complexity and diversity of fashion images,this task entails multiple challenges,including the lack of fine-grained captions and confounders caused by dataset bias.Specifically,confounders often cause models to learn spurious correlations,thereby reducing their generalization capabilities.Method In this work,we propose the Deconfounded Fashion Image Captioning(DFIC)framework,which first uses multimodal retrieval to enrich the predicted captions of clothing,and then constructs a detailed causal graph using causal inference in the decoder to perform deconfounding.Multimodal retrieval is used to obtain semantic words related to image features,which are input into the decoder as prompt words to enrich sentence descriptions.In the decoder,causal inference is applied to disentangle visual and semantic features while concurrently eliminating visual and language confounding.Results Overall,our method can not only effectively enrich the captions of target images,but also greatly reduce confounders caused by the dataset.To verify the effectiveness of the proposed framework,the model was experimentally verified using the FACAD dataset.
基金Shanghai Frontier Science Research Center for Modern Textiles,Donghua University,ChinaOpen Project of Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment,Zhengzhou University of Light Industry,China(No.IM202303)National Key Research and Development Program of China(No.2019YFB1706300)。
文摘A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such as casual and athletic styles,and consider attributes like color and texture when selecting outfits.To achieve personalized outfit recommendations in line with user style preferences,this paper proposes a personal style guided outfit recommendation with multi-modal fashion compatibility modeling,termed as PSGNet.Firstly,a style classifier is designed to categorize fashion images of various clothing types and attributes into distinct style categories.Secondly,a personal style prediction module extracts user style preferences by analyzing historical data.Then,to address the limitations of single-modal representations and enhance fashion compatibility,both fashion images and text data are leveraged to extract multi-modal features.Finally,PSGNet integrates these components through Bayesian personalized ranking(BPR)to unify the personal style and fashion compatibility,where the former is used as personal style features and guides the output of the personalized outfit recommendation tailored to the target user.Extensive experiments on large-scale datasets demonstrate that the proposed model is efficient on the personalized outfit recommendation.
文摘Yesterday,Lectra,a leading supplier of industrial intelligent technology solutions for the fashion,automotive,and furniture industries,successfully held the Valia Fashion new product launch event in Shanghai.Numerous industry leaders,experts,scholars,and media participated in this event to communicate the future trends of fashion manufacturing and witness the heavyweight release of a new intelligent digital platform-Valia Fashion.The launch of this platform is not only an important milestone for Lectra to promote intelligent upgrading in the industry,but also marks a new era of fashion manufacturing centered on data-driven,collaborative efficiency,and sustainable development.
文摘Tokyo,Japan–FaW TOKYO(FASHION WORLD TOKYO),the renowned international fashion trade show,is gearing up for its spring edition,promising an exciting showcase of global fashion trends,technology innovations,and traditional craftsmanship.From April 17-19,Tokyo Big Sight in Japan gathers a diverse array of international exhibitors and highlighting the best of Japanese fashion excellence.
