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Journal articles on the topic 'Transfert de style'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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1

Duez, Bernard. "Le transfert comme paradigme processuel de la groupalité psychique : de l'habitude au style." Revue de psychothérapie psychanalytique de groupe 45, no. 2 (2005): 31. http://dx.doi.org/10.3917/rppg.045.0031.

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Okubo, Miki. "La notion "gothique" traduite dans la culture pop du Japon contemporain." Jangada: crítica | literatura | artes 1, no. 17 (2021): 390–408. http://dx.doi.org/10.35921/jangada.v1i17.351.

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Le mouvement « Gothic and Lolita » est à la fois le style vestimentaire et une pratique philosophique développée dans la société japonaise depuis les années 1990, son influence se fait sentir dans différents milieux culturels et son origine est issue du roman gothique. Le présent article met en lumière un processus unique du transfert culturel de la notion « gothique » dans la culture japonaise contemporaine comme un phénomène culturel issu de différentes cultures, évolué au sein d’une culture autochtone plus traditionnelle. L’association de la notion « gothique » à la notion « lolita » est ex

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Koffi, Vivi, and Jean Lorrain. "L’intégration du successeur dans l’équipe de gestion des entreprises familiales : le cas des femmes chefs d’entreprise." Revue internationale P.M.E. 18, no. 3-4 (2012): 73–92. http://dx.doi.org/10.7202/1008483ar.

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La problématique de la relève dans les entreprises familiales préoccupe de plus en plus les chercheurs et les professionnels du milieu des affaires. Étant donné le nombre très important de transferts et la fréquence de leurs échecs, comment peut-on parler de relève sans s’intéresser à l’intégration du successeur dans l’équipe de gestion en vue d’assurer la pérennité de l’entreprise familiale ? De plus, compte tenu de l’importance grandissante de l’apport des femmes chefs d’entreprises dans l’économie des pays, l’objectif de cet article est de faire un survol des différents travaux qui portent,

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Gold, Iwala. "L’emprunt En Traduction." Tasambo Journal of Language, Literature, and Culture 3, no. 01 (2024): 390–95. http://dx.doi.org/10.36349/tjllc.2024.v03i01.045.

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Dans un monde où les connaissances évoluent d'une manière de plus en plus alerte, le transfert des mots d’une langue à une autre, en forme de l’emprunt, devient essentiel pour enrichir le vocabulaire des langues de travail. L’emprunt c’est l’acte de maintenir certains mots du texte de départ dans le texte d’arrivée, soit par manque d’équivalence soit style et goût du traducteur. Puisque le but de la traduction est le transfert d’une réalité idéologique, médical, religieux ou politique, d’une langue à une autre pour le bien de l’humanité, le transfert des lexiques devint aussi une évidence. Not

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Lonvaud-Funel, Aline. "La désacidification biologique des vins. Etat de la question, perspectives d'avenir." OENO One 28, no. 2 (1994): 161. http://dx.doi.org/10.20870/oeno-one.1994.28.2.1149.

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<p style="text-align: justify;">La désacidification biologique est le résultat de la transformation enzymatique de l'acide L-malique. Levures et bactéries lactiques possèdent un équipement enzymatique, différent à la fois par la nature des produits de la transformation et leur affinité pour le substrat. La fermentation malolactique assurée par les bactéries lactiques est le procédé le plus répandu.</p><p style="text-align: justify;">Sa maîtrise passe par l'utilisation de levains bactériens, dont les plus récents sont ensemencés directement au vin après la fermentation alcooli

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Feuillat, François, Jean-René Perrin, René Keller, et al. "Simulation expérimentale de « l'expérience tonneau ». Mesure des cinétiques d'imprégnation du liquide dans le bois et d'évaporation de surface." OENO One 28, no. 3 (1994): 227. http://dx.doi.org/10.20870/oeno-one.1994.28.3.1140.

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<p style="text-align: justify;">Un modèle expérimental miniaturisé a été conçu dans le but de simuler "l'interface tonneau". Les cinétiques de l'imprégnation du liquide dans le bois et de l'évaporation de surface ont été mesurées en conditions de cave (15°C ; 90 p. cent HR) pendant 200 jours sur des petits disques à orientation tangentielle (Ø 63 mm; épaisseur 9 mm) à l'aide d'une méthodologie spécifique. Ces résultats expérimentaux ont été obtenus sur 4 espèces traditionnellement employées en tonnellerie (<em>Quercus</em> <em>robur </em>L., <em>Q. petraea&l

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Bouillon, Pierrette, and Katharina Boesefeldt. "Problèmes de traduction automatique dans les sous-langages des bulletins d’avalanches." Meta 37, no. 4 (2002): 635–46. http://dx.doi.org/10.7202/002108ar.

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Résumé Dans cet article, nous décrivons l'état actuel du projet de traduction automatique des bulletins d'avalanches de la Suisse. Après un bref aperçu du projet, nous mettons en évidence les problèmes de traduction, auxquels nous avons été confronté lors du développement du projet et la manière de les résoudre avec ELU, environnement linguistique d'unification. Nous montrerons qu'une collaboration étroite lors de l'écriture des différentes grammaires nous permet généralement d'obtenir une même représentation sémantique dans les différentes langues, laquelle modélise le domaine des avalanches

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8

Hahn, Marcus. "„Rasse mit Stil“." Recherches germaniques HS 19 (2024): 89–107. http://dx.doi.org/10.4000/11uzu.

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L’homme est « la race avec du style », peut-on lire dans l’essai Dorische Welt (1934) de Gottfried Benn, un texte de transition entre son engagement politique pour les nationaux-socialistes et son ‘émigration intérieure’. Ainsi, il contient d’une part quelques-unes des déclarations les plus problématiques de Benn – de la célébration d’un décisionnisme politique machiavélique à l’affirmation de l’eugénisme, en passant par la dérivation causale de l’art occidental à partir d’États esclavagistes soldatesques – tandis que, d’autre part, il s’empresse de revenir à l’esthétique bourgeoise de l’auton

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Bara, Florence, and Marie-France Morin. "Est-il nécessaire d’enseigner l’écriture script en première année ? Les effets du style d’écriture sur le lien lecture/écriture." Nouveaux cahiers de la recherche en éducation 12, no. 2 (2013): 149–60. http://dx.doi.org/10.7202/1017456ar.

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Cette étude permet de questionner la tradition du double enseignement des styles d’écriture au Québec, en testant la validité d’un argument couramment avancé, qui suggère que la discordance entre l’écriture cursive et les caractères d’imprimerie nuirait au transfert entre la lecture et l’écriture. Les résultats obtenus auprès d’enfants de 2e année du primaire, ayant appris à écrire en script ou en cursive, ne nous permettent pas d’aller dans le sens de cet argument. En effet, les corrélations entre les performances en lecture et en écriture sont significatives et élevées pour les deux groupes

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Dorin, Stéphane. "Style du Velours : sociologie du transfert de capital symbolique entre Andy Warhol et le Velvet Underground (1965-1967)." A contrario 3, no. 1 (2005): 45. http://dx.doi.org/10.3917/aco.031.67.

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Xue, Tao, Zixuan Guo, Zehang Yin, and Yu Rong. "Style Transfer and Topological Feature Analysis of Text-Based CAPTCHA via Generative Adversarial Networks." Mathematics 13, no. 11 (2025): 1861. https://doi.org/10.3390/math13111861.

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The design and cracking of text-based CAPTCHAs are important topics in computer security. This study proposes a method for the style transfer of text-based CAPTCHAs using Generative Adversarial Networks (GANs). First, a curated dataset was used, combining a text-based CAPTCHA library and image collections from four artistic styles—Van Gogh, Monet, Cézanne, and Ukiyo-e—which were used to generate style-based text CAPTCHA samples. Subsequently, a universal style transfer model, along with trained CycleGAN models for both single- and double-style transfers, were employed to generate style-enhance

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Aubry, Laurence. "Présences de la littérature dans le travail du psychanalyste." Revue française de psychanalyse Vol. 88, no. 4 (2024): 167–72. http://dx.doi.org/10.3917/rfp.884.0167.

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Le séminaire « Interpréter, lire, écrire. Psychanalyse et littérature » s’intéresse à la manière dont la littérature s’invite dans le travail des psychanalystes. Les contributions des intervenants et les échanges avec les participants ont permis d’en dégager quatre modalités. Certaines écritures relèvent de l’auto-analyse, ce qui soulève la question de la différence entre la sublimation et la perlaboration. Lorsque, mis à l’épreuve par le négatif, l’analyste emprunte le détour de la littérature pour élaborer son contre-transfert, il s’identifie d’une certaine manière à l’écrivain. Pour l’analy

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Handayani, Sri. "La chanson folklorique enfantine comme media de l’apprentissage interculturel et du transfert des valeurs morales." Digital Press Social Sciences and Humanities 3 (2019): 00040. http://dx.doi.org/10.29037/digitalpress.43313.

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<p class="MsoNormal" style="text-indent:0in">Children's folk song is an example of cultural products that has several goals in its creation. Aside from entertaining, this type of song also aims to transfer moral values or character building to children. Thanks to its moral values, this type of song is a potential medium as a media of character learning and also intercultural learning. This article aims to propose a compilation of Javanese children's folk songs translated into French intended not only for Indonesian learners who learn French, but

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Jin, Xin. "Art Style Transfer of Oil Painting Based on Parallel Convolutional Neural Network." Security and Communication Networks 2022 (July 30, 2022): 1–7. http://dx.doi.org/10.1155/2022/5087129.

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To generate a new ornamental image, add an image’s oil painting style information to any image while preserving the image’s semantic content. With the rapid advancement of deep learning (DL), image style transfer has become one of the most active areas of computer vision research (CV). This paper proposes an oil painting style transfer technique based on parallel convolutional neural networks to address the ineffective style transfer of locally similar regions in content images and the slow processing speed of existing methods. By incorporating Gaussian sampling and a parallelization algorithm

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Wang, Ye, Tongyuan Bai, Xuping Xie, Zili Yi, Yilin Wang, and Rui Ma. "SigStyle: Signature Style Transfer via Personalized Text-to-Image Models." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 8 (2025): 8051–59. https://doi.org/10.1609/aaai.v39i8.32868.

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Style transfer enables the seamless integration of artistic styles from a style image into a content image, resulting in visually striking and aesthetically enriched outputs. Despite numerous advances in this field, existing methods did not explicitly focus on the signature style, which represents the distinct and recognizable visual traits of the image such as geometric and structural patterns, color palettes and brush strokes etc. In this paper, we introduce SigStyle, a framework that leverages the semantic priors that embedded in a personalized text-to-image diffusion model to capture the s

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Bigras, Élisabeth. "Petite fille? Femme?" Santé mentale au Québec 7, no. 1 (2006): 37–41. http://dx.doi.org/10.7202/030122ar.

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Résumé Ce moment d'une rencontre psychanalytique avec une petite fille de 9 ans vise surtout à rendre compte de l'ambiance particulière qui se dégage d'une telle rencontre. Par ambiance, il faudrait entendre une qualité de vécu propre à la réalité psychique de l'enfant et à la façon dont elle s'exprime au niveau fantasmatique et onirique. Par ambiance, il faut également entendre la singularité et le style propre dans lequel s'exprime la vie psychique de cette petite fille lors de sa rencontre avec une analyste femme. On met aussi en évidence l'utilisation du contre-transfert de l'analyste qui

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Horvitz, Zachary, Ajay Patel, Chris Callison-Burch, Zhou Yu, and Kathleen McKeown. "ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 16 (2024): 18216–24. http://dx.doi.org/10.1609/aaai.v38i16.29780.

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Textual style transfer is the task of transforming stylistic properties of text while preserving meaning. Target "styles" can be defined in numerous ways, ranging from single attributes (e.g. formality) to authorship (e.g. Shakespeare). Previous unsupervised style-transfer approaches generally rely on significant amounts of labeled data for only a fixed set of styles or require large language models. In contrast, we introduce a novel diffusion-based framework for general-purpose style transfer that can be flexibly adapted to arbitrary target styles at inference time. Our parameter-efficient ap

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Song, Young Do, and Eui Chul Lee. "Facial De-identification Using Neural Style Transfer." Journal of Next-generation Convergence Technology Association 6, no. 12 (2022): 2240–48. http://dx.doi.org/10.33097/jncta.2022.06.12.2240.

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Raghupathi, Mr Kanala, Yata Rushithanjali, Bodapatla Sushma, Palwai Komal Kumar Reddy, and Edula Anirudh. "Neural Style Transfer For Video Animation." International Journal of Research Publication and Reviews 6, no. 6 (2025): 11746–53. https://doi.org/10.55248/gengpi.6.0625.2376.

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Roman, Nicoleta. "Émigrants et réviseurs scolaires dans la Valachie de la première moitié du XIXe-siècle: transfert intellectuel et construction nationale. Étude de cas: Ioan Maiorescu." PLURAL. History, Culture, Society 11, no. 1 (2023): 5–36. http://dx.doi.org/10.37710/plural.v11i1_1.

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The 19th century redefined the place of nations within empires. Enlightenment ideas of mother-tongue education, natural rights and liberty join the imperial center’s aim to attract loyalties, gain allegiance, create economic wealth and educate a citizenry attached to the state. In south-eastern Europe, the fragile coexistence of three empires (Ottoman, Russian and Austrian) was disrupted by the way in which the neighboring ethnic groups intended to adjust the Enlightenment ideas to suit the development of their own cultures. The present study traces the transfers brought by the Transylvanian i

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Wu, Guang Lin, Liang Sheng Zhu, and Fang Cheng Li. "Numerical Simulation of Dissolved Oxygen Transfer in an Aerated Pond." Applied Mechanics and Materials 587-589 (July 2014): 588–93. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.588.

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Dissolved oxygen transfer in an aeration pond was studied by numerical method in this paper. 2d water pond current induced by water-wheel aerators and oxygen transfer process was simulated by finite volume method. In order to verify the relationships between current and dissolved oxygen transfer, we set 4 layout styles with 4 aerators in a water pond. It is proved that different layout styles induce different flow structures and dissolved oxygen distribution. Traditional layout (style a) is not the best way for oxygen transfer, and other styles (style b, c &d) are all superior to the tradi

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Wang, Zhizhong, Lei Zhao, Zhiwen Zuo, et al. "MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (2023): 2742–50. http://dx.doi.org/10.1609/aaai.v37i3.25374.

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Arbitrary style transfer (AST) transfers arbitrary artistic styles onto content images. Despite the recent rapid progress, existing AST methods are either incapable or too slow to run at ultra-resolutions (e.g., 4K) with limited resources, which heavily hinders their further applications. In this paper, we tackle this dilemma by learning a straightforward and lightweight model, dubbed MicroAST. The key insight is to completely abandon the use of cumbersome pre-trained Deep Convolutional Neural Networks (e.g., VGG) at inference. Instead, we design two micro encoders (content and style encoders)

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Shen Yu, 沈瑜, 杨倩 Yang Qian, 苑玉彬 Yuan Yubin та 王霖 Wang Lin. "目标边缘清晰化的图像风格迁移". Laser & Optoelectronics Progress 58, № 12 (2021): 1210021. http://dx.doi.org/10.3788/lop202158.1210021.

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Lin, Minxuan, Fan Tang, Weiming Dong, Xiao Li, Changsheng Xu, and Chongyang Ma. "Distribution Aligned Multimodal and Multi-domain Image Stylization." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 3 (2021): 1–17. http://dx.doi.org/10.1145/3450525.

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Multimodal and multi-domain stylization are two important problems in the field of image style transfer. Currently, there are few methods that can perform multimodal and multi-domain stylization simultaneously. In this study, we propose a unified framework for multimodal and multi-domain style transfer with the support of both exemplar-based reference and randomly sampled guidance. The key component of our method is a novel style distribution alignment module that eliminates the explicit distribution gaps between various style domains and reduces the risk of mode collapse. The multimodal diver

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Divine, Deborah Reaves. "Adult Learning Styles and Effective Transfer of Information." Transportation Research Record: Journal of the Transportation Research Board 1637, no. 1 (1998): 9–12. http://dx.doi.org/10.3141/1637-02.

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Effective training and other technology transfer (T2) activities occur when teachers/trainers or T2 agents recognize and use training techniques that correspond to the learning styles of their learner audiences. Learning style is defined as one’s personally preferred way of processing information and experience. It crosses all content areas. It is affected by both intrinsic and extrinsic factors such as stress, world view, and environment. Each learner has the ability to utilize a variety of learning styles, and each teacher has a preferred teaching style based on his or her preferred informat

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Ashtari, Amirsaman, Chang Wook Seo, Cholmin Kang, Sihun Cha, and Junyong Noh. "Reference Based Sketch Extraction via Attention Mechanism." ACM Transactions on Graphics 41, no. 6 (2022): 1–16. http://dx.doi.org/10.1145/3550454.3555504.

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We propose a model that extracts a sketch from a colorized image in such a way that the extracted sketch has a line style similar to a given reference sketch while preserving the visual content identically to the colorized image. Authentic sketches drawn by artists have various sketch styles to add visual interest and contribute feeling to the sketch. However, existing sketch-extraction methods generate sketches with only one style. Moreover, existing style transfer models fail to transfer sketch styles because they are mostly designed to transfer textures of a source style image instead of tr

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Park, Jisun, and Kyungeun Cho. "Neural Rendering-Based 3D Scene Style Transfer Method via Semantic Understanding Using a Single Style Image." Mathematics 11, no. 14 (2023): 3243. http://dx.doi.org/10.3390/math11143243.

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In the rapidly emerging era of untact (“contact-free”) technologies, the requirement for three-dimensional (3D) virtual environments utilized in virtual reality (VR)/augmented reality (AR) and the metaverse has seen significant growth, owing to their extensive application across various domains. Current research focuses on the automatic transfer of the style of rendering images within a 3D virtual environment using artificial intelligence, which aims to minimize human intervention. However, the prevalent studies on rendering-based 3D environment-style transfers have certain inherent limitation

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Fu, Miaomiao, Yixing Liu, Rongrong Ma, Binbin Zhang, Linli Wu, and Lingli Zhu. "A model integrating attention mechanism and generative adversarial network for image style transfer." PeerJ Computer Science 10 (September 20, 2024): e2332. http://dx.doi.org/10.7717/peerj-cs.2332.

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Image style transfer is an important way to combine different styles and contents to generate new images, which plays an important role in computer vision tasks such as image reconstruction and image texture synthesis. In style transfer tasks, there are often long-distance dependencies between pixels of different styles and contents, and existing neural network-based work cannot handle this problem well. This paper constructs a generation model for style transfer based on the cycle-consistent network and the attention mechanism. The forward and backward learning process of the cycle-consistent

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Chang, Chin-Chen, and Ping-Hao Peng. "Sand Painting Generation Based on Convolutional Neural Networks." Journal of Imaging 10, no. 2 (2024): 44. http://dx.doi.org/10.3390/jimaging10020044.

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Neural style transfer is an algorithm that transfers the style of one image to another image and converts the style of the second image while preserving its content. In this paper, we propose a style transfer approach for sand painting generation based on convolutional neural networks. The proposed approach aims to improve sand painting generation via neural style transfer, which can address the problem of blurred objects. Furthermore, it can reduce background noise caused by neural style transfers. First, we segment the main objects from the content image. Subsequently, we perform close–open

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K, Ramesh, B. Muni Lavanya, B. Rajesh Kumar, Narayan Krishan Vyas, and Mohammed Saleh Al Ansari. "GENERATIVE ADVERSARIAL NETWORKS FOR IMAGE SYNTHESIS AND STYLE TRANSFER IN VIDEOS." ICTACT Journal on Image and Video Processing 14, no. 2 (2023): 3116–21. http://dx.doi.org/10.21917/ijivp.2023.0443.

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In computer vision and artistic expression, the synthesis of visually compelling images and the transfer of artistic styles onto videos have gained significant attention. This research addresses the challenges in achieving realistic image synthesis and style transfer in the dynamic context of videos. Existing methods often struggle to maintain temporal coherence and fail to capture intricate details, prompting the need for innovative approaches. The conventional methods for image synthesis and style transfer in videos encounter difficulties in preserving the natural flow of motion and consiste

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Farouk Soliman, Amal. "Investigating the Leadership Style Effect on the Technology Transfer Effectiveness: A Proposed New Model (An Applied Study on the Dairy Manufacturing Sector in Egypt)." International Journal of Business and Management 11, no. 10 (2016): 141. http://dx.doi.org/10.5539/ijbm.v11n10p141.

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<p><strong>Purpose: </strong>Different leadership styles' effects on technology transfer effectiveness have not been implied in the literature. This study seeks to theoretically investigate the effect of five leadership styles; Classified according to personal authority of the leader; On technology transfer effectiveness.</p><p><strong>Design/methodology/approach:</strong> This study identifies five leadership styles which affect technology transfer effectiveness including transformational leadership, transactional leadership, visionary leadership, cha

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Yang, Shuai, Jiaying Liu, Wenjing Wang, and Zongming Guo. "TET-GAN: Text Effects Transfer via Stylization and Destylization." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1238–45. http://dx.doi.org/10.1609/aaai.v33i01.33011238.

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Text effects transfer technology automatically makes the text dramatically more impressive. However, previous style transfer methods either study the model for general style, which cannot handle the highly-structured text effects along the glyph, or require manual design of subtle matching criteria for text effects. In this paper, we focus on the use of the powerful representation abilities of deep neural features for text effects transfer. For this purpose, we propose a novel Texture Effects Transfer GAN (TET-GAN), which consists of a stylization subnetwork and a destylization subnetwork. The

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Ponamaryov, V. V., and V. V. Kitov. "Automatic Image Style Transfer Using an Augmented Style Set." Programmirovanie, no. 3 (November 28, 2024): 14–20. http://dx.doi.org/10.31857/s0132347424030029.

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Image style transfer is an applied task for automatic rendering of the original image (content) in the style of another image (specifying the target style). Traditional image stylization methods provide only a single stylization result. If the user is not satisfied with it due to stylization artifacts, he has to choose a different style. The work proposes a modified stylization algorithm, giving a variety of stylization results, and achieves improved stylization quality by using additional style information from similar styles.

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Zhou, Chuying. "An emotional expression framework based on social media style transfer." Applied and Computational Engineering 20, no. 1 (2023): 100–107. http://dx.doi.org/10.54254/2755-2721/20/20231080.

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Recently, artificial intelligence has great effort in social media. Style transfer is a subtask of deep learning, can transform images shared on social media into works with artistic painting style transfer through image recognition technology, which creating amazing effects. However, the current style transfer technology is still in the early stages of development, and can only convert the shared picture into the style of a certain artwork, but does not have the ability to convert the emotional expression of the picture. In this paper, we proposes an emotional expression framework based on so

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Choi, Ha-Yeong, Sang-Hoon Lee, and Seong-Whan Lee. "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 16 (2024): 17862–70. http://dx.doi.org/10.1609/aaai.v38i16.29740.

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Diffusion-based generative models have recently exhibited powerful generative performance. However, as many attributes exist in the data distribution and owing to several limitations of sharing the model parameters across all levels of the generation process, it remains challenging to control specific styles for each attribute. To address the above problem, we introduce decoupled denoising diffusion models (DDDMs) with disentangled representations, which can enable effective style transfers for each attribute in generative models. In particular, we apply DDDMs for voice conversion (VC) tasks,

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Papti, Mr Madhu Kumar. "Multimodal Content Analysis Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 564–69. http://dx.doi.org/10.22214/ijraset.2024.61566.

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Abstract: The multimodal content analysis platform combines sentiment analysis and neural style transfertechniques to process and improve various types of digital content. The sentiment analysis module utilizes natural language processing (NLP) algorithms, such as recurrent neural networks (RNNs) or transformer models like BERT, to extract emotional signals from textual, visual, and auditory inputs. Signals are classified into predefined sentiment categories, providing granular insights into the emotional context of the content. The platform employs neural style transfer algorithms, such as st

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Hu, Huiting, Wenxin Lian, Rui Su, Chongyu Ren, and Juan Zhang. "Stylization of a Seismic Image Profile Based on a Convolutional Neural Network." Energies 15, no. 16 (2022): 6039. http://dx.doi.org/10.3390/en15166039.

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Seismic data are widely used in oil, gas, and other kinds of mineral exploration and development. However, due to low artificial interpretation accuracy and small sample sizes, seismic data may not meet the needs of convolutional neural network training. There are major differences between optical image and seismic data, making it difficult for a model to learn seismic data characteristics. Therefore, a style transfer network is necessary to make the styles of optical image and seismic data more similar. Since the stylization effect of a seismic section is similar to that of most art styles, b

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Choi, Hyun-Chul. "Toward Exploiting Second-Order Feature Statistics for Arbitrary Image Style Transfer." Sensors 22, no. 7 (2022): 2611. http://dx.doi.org/10.3390/s22072611.

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Generating images of artistic style from input images, also known as image style transfer, has been improved in the quality of output style and the speed of image generation since deep neural networks have been applied in the field of computer vision research. However, the previous approaches used feature alignment techniques that were too simple in their transform layer to cover the characteristics of style features of images. In addition, they used an inconsistent combination of transform layers and loss functions in the training phase to embed arbitrary styles in a decoder network. To overc

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Tsai, Yihjia, Hsiau-Wen Lin, Chii-Jen Chen, Hwei-Jen Lin, and Chen-Hsiang Yu. "Meta Network for Flow-Based Image Style Transfer." Electronics 14, no. 10 (2025): 2035. https://doi.org/10.3390/electronics14102035.

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A style transfer aims to produce synthesized images that retain the content of one image while adopting the artistic style of another. Traditional style transfer methods often require training separate transformation networks for each new style, limiting their adaptability and scalability. To address this challenge, we propose a flow-based image style transfer framework that integrates Randomized Hierarchy Flow (RH Flow) and a meta network for adaptive parameter generation. The meta network dynamically produces the RH Flow parameters conditioned on the style image, enabling efficient and flexi

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Qian, Wenhua, Jinde Cao, Dan Xu, Rencan Nie, Zheng Guan, and Rui Zheng. "CNN-Based Embroidery Style Rendering." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 14 (2020): 2059045. http://dx.doi.org/10.1142/s0218001420590454.

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Nonphotorealistic rendering (NPR) techniques are used to transform real-world images into high-quality aesthetic styles automatically. NPR mainly focuses on transfer hand-painted styles to other content images, and simulates pencil drawing, watercolor painting, sketch painting, Chinese monochromes, calligraphy and, so on. However, digital simulation of Chinese embroidery style has not attracted researcher’s much attention. This study proposes an embroidery style transfer method from a 2D image on the basis of a convolutional neural network (CNN) and evaluates the relevant rendering features. T

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Miah, Jonayet, Duc Minh Cao, Md Abu Sayed, and Md Sabbirul Haque. "Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks." Journal of Computer Science and Technology Studies 5, no. 4 (2023): 78–85. http://dx.doi.org/10.32996/jcsts.2023.5.4.9.

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Artistic style transfer, a captivating application of generative artificial intelligence, involves fusing the content of one image with the artistic style of another to create unique visual compositions. This paper presents a comprehensive overview of a novel technique for style transfer using Convolutional Neural Networks (CNNs). By leveraging deep image representations learned by CNNs, we demonstrate how to separate and manipulate image content and style, enabling the synthesis of high-quality images that combine content and style in a harmonious manner. We describe the methodology, includin

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Liu, Xueyuan. "Research on Neural Style Transfer." Journal of Physics: Conference Series 2079, no. 1 (2021): 012029. http://dx.doi.org/10.1088/1742-6596/2079/1/012029.

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Abstract The process of using CNN (Convolutional Neural Network) to blend the contents of a picture with different styles is called neural style transfer (NST). The purpose of this paper is to introduce current progress of NST, and introduce in detail the classification of the main NST algorithms based on deep learning, and make qualitative and quantitative comparisons of different algorithms, and then analyze the application prospects of image style migration in related fields, and finally summarize the existing problems and future research directions of NST.

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Zhang, Yu, Rongjie Huang, Ruiqi Li, et al. "StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 19597–605. http://dx.doi.org/10.1609/aaai.v38i17.29932.

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Style transfer for out-of-domain (OOD) singing voice synthesis (SVS) focuses on generating high-quality singing voices with unseen styles (such as timbre, emotion, pronunciation, and articulation skills) derived from reference singing voice samples. However, the endeavor to model the intricate nuances of singing voice styles is an arduous task, as singing voices possess a remarkable degree of expressiveness. Moreover, existing SVS methods encounter a decline in the quality of synthesized singing voices in OOD scenarios, as they rest upon the assumption that the target vocal attributes are disc

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Akber, Syed Muhammad Abrar, Sadia Nishat Kazmi, Syed Muhammad Mohsin, and Agnieszka Szczęsna. "Deep Learning-Based Motion Style Transfer Tools, Techniques and Future Challenges." Sensors 23, no. 5 (2023): 2597. http://dx.doi.org/10.3390/s23052597.

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In the fourth industrial revolution, the scale of execution for interactive applications increased substantially. These interactive and animated applications are human-centric, and the representation of human motion is unavoidable, making the representation of human motions ubiquitous. Animators strive to computationally process human motion in a way that the motions appear realistic in animated applications. Motion style transfer is an attractive technique that is widely used to create realistic motions in near real-time. motion style transfer approach employs existing captured motion data to

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Cao, Deborah. "Strategies in Translating Oral History Between Chinese and English." Babel. Revue internationale de la traduction / International Journal of Translation 40, no. 3 (1994): 137–45. http://dx.doi.org/10.1075/babel.40.3.03cao.

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L'article se penche sur les traductions en anglais et en chinois de la tradition orale en se référant plus particulièrement aux traductions en anglais de la tradition orale Chinoise, Beijingren, de Zhang Xinxin et Sang Ye, et à la traduction en chinois de la tradition orale anglaise, American Dreams, par Studs Turkel. Par ailleurs, l'article propose des stratégies permettant de traduire ce genre littéraire dans deux langues aussi éloignées l'une de l'autre que sont l'anglais et le chinois. Il défend la thèse que ce sont les aspects linguistiques et non linguistiques de la tradition orale qui d

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Zhang, Chi, Yixin Zhu, and Song-Chun Zhu. "MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1254–61. http://dx.doi.org/10.1609/aaai.v33i01.33011254.

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An unprecedented booming has been witnessed in the research area of artistic style transfer ever since Gatys et al. introduced the neural method. One of the remaining challenges is to balance a trade-off among three critical aspects—speed, flexibility, and quality: (i) the vanilla optimization-based algorithm produces impressive results for arbitrary styles, but is unsatisfyingly slow due to its iterative nature, (ii) the fast approximation methods based on feed-forward neural networks generate satisfactory artistic effects but bound to only a limited number of styles, and (iii) feature-matchi

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Wu, Zhijie, Chunjin Song, Yang Zhou, Minglun Gong, and Hui Huang. "EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12305–12. http://dx.doi.org/10.1609/aaai.v34i07.6914.

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Style transfer has been an important topic both in computer vision and graphics. Since the seminal work of Gatys et al. first demonstrates the power of stylization through optimization in the deep feature space, quite a few approaches have achieved real-time arbitrary style transfer with straightforward statistic matching techniques. In this work, our key observation is that only considering features in the input style image for the global deep feature statistic matching or local patch swap may not always ensure a satisfactory style transfer; see e.g., Figure 1. Instead, we propose a novel tra

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Liu, Xueting, Wenliang Wu, Huisi Wu, and Zhenkun Wen. "Deep Style Transfer for Line Drawings." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (2021): 353–61. http://dx.doi.org/10.1609/aaai.v35i1.16111.

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Line drawings are frequently used to illustrate ideas and concepts in digital documents and presentations. To compose a line drawing, it is common for users to retrieve multiple line drawings from the Internet and combine them as one image. However, different line drawings may have different line styles and are visually inconsistent when put together. In order that the line drawings can have consistent looks, in this paper, we make the first attempt to perform style transfer for line drawings. The key of our design lies in the fact that centerline plays a very important role in preserving line

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Buwah, Neba Noela, Ibrahima Ibrahima, Negou Ernest, and Elangwe Eugenia Bie. "Leadership Styles and Organisational Performance: Case of Small Businesses in Cameroon Size Businesses in Buea Municipality." International Journal of Small Business and Entrepreneurship Research 12, no. 1 (2024): 24–46. http://dx.doi.org/10.37745/ijsber.2013/vol12n12446.

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This study assesses the relationship between leadership styles and organisational performance for small and medium size organisations in Cameroon. Specifically, it examines the effect of authoritarian leadership style on organisational performance, the effect of democratic leadership style on organisational performance and the effect of transformational leadership style on organiational performance. Using a causal research design, the research selected 100 employees in small and medium size organisations through purposive sampling technique. Descriptive and inferential statistics were used thr

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Ren, Yeqing, Youqiang Sun, Xuechun Jing, Zhihua Cui, and Zhentao Shi. "Adaptive Makeup Transfer via Bat Algorithm." Mathematics 7, no. 3 (2019): 273. http://dx.doi.org/10.3390/math7030273.

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With the advent of the artificial intelligence (AI) era, the beauty camera is widely used, and makeup transfer has attracted increasing attention. In this paper, we propose an adaptive makeup transfer based on the bat algorithm to solve the problem that only a single makeup effect can be transferred. According to the characteristics of makeup style, the algorithm optimizes the weight value to get the appropriate makeup lightness by using the adaptive method. The improved algorithm can not only help to get the optimal weight values in the process of transferring the same makeup style to differe

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