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1,113 result(s) for "Blouse"
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Clothing image attribute editing based on generative adversarial network, with reference to an upper garment
PurposeNowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing style and color design via computer language, which aims to edit and control the garment image based on the specified target attributes while preserving other details from the original image. The current image attribute editing model often generates images containing missing or redundant attributes. To address the problem, this paper aims for a novel design method utilizing the Fashion-attribute generative adversarial network (AttGAN) model was proposed for image attribute editing specifically tailored to women’s blouses.Design/methodology/approachThe proposed design method primarily focuses on optimizing the feature extraction network and loss function. To enhance the feature extraction capability of the model, an increase in the number of layers in the feature extraction network was implemented, and the structure similarity index measure (SSIM) loss function was employed to ensure the independent attributes of the original image were consistent. The characteristic-preserving virtual try-on network (CP_VTON) dataset was used for train-ing to enable the editing of sleeve length and color specifically for women’s blouse.FindingsThe experimental results demonstrate that the optimization model’s generated outputs have significantly reduced problems related to missing attributes or visual redundancy. Through a comparative analysis of the numerical changes in the SSIM and peak signal-to-noise ratio (PSNR) before and after the model refinement, it was observed that the improved SSIM increased substantially by 27.4%, and the PSNR increased by 2.8%, serving as empirical evidence of the effectiveness of incorporating the SSIM loss function.Originality/valueThe proposed algorithm provides a promising tool for precise image editing of women’s blouses based on the GAN. This introduces a new approach to eliminate semantic expression errors in image editing, thereby contributing to the development of AI in clothing design.
WHEN NOSTALGIA GOES VIRAL: THE UNIVERSAL DAY OF THE ROMANIAN BLOUSE
This study offers an anthropological approach to a celebration of Romanian identity: the Universal Day of the Romanian Blouse. Initially launched as an online initiative in 2013 and rapidly embraced by a wide community of Romanians both at home and abroad, the celebration was later officially recognized by law in 2022. The analysis demonstrates that this phenomenon emerged from a complex constellation of factors, the most significant being the search for identity in a globalized world and the viral dissemination of online content carrying symbolic and identity-driven meanings, both specific to contemporary digital culture. Within a global context marked by cultural homogenization, nostalgia operates as a psychological force of reconnection to one’s roots, transforming the past into a usable cultural resource and providing coherence to the present through the rewriting of tradition. The Romanian blouse becomes a transnational marker of identity, projected into the global sphere through image circulation and the affective participation of digital communities. The phenomenon analysed illustrates the capacity of digital culture to generate new forms of continuity through the intersection of memory, technology, and emotion.
Consumer Perceptions of Price (Un)Fairness
A series of studies demonstrates that consumers are inclined to believe that the selling price of a good or service is substantially higher than its fair price. Consumers appear sensitive to several reference points—including past prices, competitor prices, and cost of goods sold—but underestimate the effects of inflation, overattribute price differences to profit, and fail to take into account the full range of vendor costs. Potential corrective interventions—such as providing historical price information, explaining price differences, and cueing costs—were only modestly effective. These results are considered in the context of a four‐dimensional transaction space that illustrates sources of perceived unfairness for both individual and multiple transactions.
Virtual method of predicting the accuracy of pattern blocks
Main purpose of this study is to develop the virtual method of predicting the misfit based on new obtaining relations between pattern blocks and body features. In our research, digital twin of female body in CLO3D was used. 3D-2D pattern block flattening technology was used to obtain the body prototype of avatar. The ease value of main structural parts for blouse pattern blocks and the proportions of ease value were obtained by respectively overlapping the blouse pattern blocks with the body prototype. Pattern blocks were analyzed and evaluated in terms of the proportions of ease value. New method can be used to analyze and predict the quality of blouse pattern block effectively and improve the efficiency of virtual garment design.
Solidarity in Head-Scarf and Pussy Bow Blouse: Reflections on Feminist Activism and Knowledge Production
The author of this article discusses the ways in which gender equality and intersectionality are understood and enacted in two recent feminist campaigns in Sweden that use similar techniques to mobilise support for different causes. The first campaign is the so-called Hijab Call-to-Action, a solidarity action that took place in 2013 in which women in Sweden wore a hijab (the Muslim headscarf) for one day in defence of Muslim women’s rights. This campaign manifests the ways in which the notion of gender equality brings with it a norm of secularity, but also how the equation of equality and secularity is contested. The second feminist campaign discussed is the so-called Pussy Bow Blouse manifestation that aimed at taking a stand in the controversies surrounding the Swedish Academy as a result of the Metoo campaign in Sweden. The author looks at the political and discursive processes enfolded in these campaigns as a sort of collective learning processes that connect feminist activism and scholarship. A key concern is to critically analyse a binary model of powerless versus gender-equal or feminist women that figure in both debates. Further, the author shows that both campaigns appeal to solidarity through identification, but at the same time underscore the contingent and coalitional nature of identity in the act of dressing in a scarf or a blouse to take on a (political) identity for a day.