Academic literature on the topic 'Style GAN'
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Journal articles on the topic "Style GAN"
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.
Full textHatakeyama, Taro, Ryusuke Saito, Komei Hiruta, Atsushi Hashimoto, and Satoshi Kurihara. "Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 16224–25. http://dx.doi.org/10.1609/aaai.v37i13.26972.
Full textGao, Yiming, and Jiangqin Wu. "GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 646–53. http://dx.doi.org/10.1609/aaai.v34i01.5405.
Full textHan, Xinying, Yang Wu, and Rui Wan. "A Method for Style Transfer from Artistic Images Based on Depth Extraction Generative Adversarial Network." Applied Sciences 13, no. 2 (January 8, 2023): 867. http://dx.doi.org/10.3390/app13020867.
Full textWu, Xinlong, Desheng Zheng, Kexin Zhang, Yanling Lai, Zhifeng Liu, and Zhihong Zhang. "Implementation of Art Pictures Style Conversion with GAN." Journal of Quantum Computing 3, no. 4 (2021): 127–36. http://dx.doi.org/10.32604/jqc.2021.017251.
Full textYUAN, Honghui, and Keiji YANAI. "Multi-Style Shape Matching GAN for Text Images." IEICE Transactions on Information and Systems E107.D, no. 4 (April 1, 2024): 505–14. http://dx.doi.org/10.1587/transinf.2023ihp0010.
Full textHou, Haodi, Jing Huo, Jing Wu, Yu-Kun Lai, and Yang Gao. "MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration." IEEE Transactions on Image Processing 30 (2021): 8644–57. http://dx.doi.org/10.1109/tip.2021.3118984.
Full textJiang, Sidong, Yuyao Yan, Yiming Lin, Xi Yang, and Kaizhu Huang. "Sketch to Building: Architecture Image Translation Based on GAN." Journal of Physics: Conference Series 2278, no. 1 (May 1, 2022): 012036. http://dx.doi.org/10.1088/1742-6596/2278/1/012036.
Full textZhang, Lei. "Analysis of Guzheng Music Style Transformation Based on Generative Adversarial Networks." Mobile Information Systems 2022 (September 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/4950231.
Full textYeom, Jihyeon, Heekyung Yang, and Kyungha Min. "An Attention-Based Generative Adversarial Network for Producing Illustrative Sketches." Mathematics 9, no. 21 (November 3, 2021): 2791. http://dx.doi.org/10.3390/math9212791.
Full textDissertations / Theses on the topic "Style GAN"
Kola, Ramya Sree. "Generation of synthetic plant images using deep learning architecture." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18450.
Full textYao, Xu. "Latent representations for facial images and video editing." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT019.
Full textLearning to edit facial images and videos is one of the most popular tasks in both academia and industrial research. This thesis addresses the problem of face editing for the special case of high-resolution images and videos.In this thesis, we develop deep learning-based methods to perform facial image editing. Specifically, we explore the task using the latent representations obtained from two types of deep neural networks: autoencoder-based models and generative adversarial networks. For each type of method, we consider a specific image editing problem and propose an effective solution that outperforms the state-of-the-art.The thesis contains two parts. In part I, we explore image editing tasks via the latent space of autoencoders. We first consider the style transfer task between photos and propose an effective algorithm that is built on a pair of autoencoder-based networks. Second, we study the face age editing task for high-resolution images, using an encoder-decoder architecture. The proposed network encodes a face image to age-invariant feature representations and learns a modulation vector corresponding to a target age. Our approach allows for fine-grained age editing on high-resolution images in a single unified model.In part II, we explore the editing task via the latent space of generative adversarial models (GANs). First, we consider the problem of facial attribute disentangled editing on synthetic and real images, by proposing a latent transformation network that acts in the latent space of a pre-trained GAN model. We also proposed a video manipulation pipeline, to generalize the editing result to videos. Second, we investigate the problem of GAN inversion -- the projection of a real image to the latent space of a pretrained GAN. In particular, we propose a feed-forward encoder, which encodes a given image to a feature code and a latent code in one pass. The proposed encoder is shown to be more accurate and stable for image and video inversion, meanwhile, maintaining good editing capacities
Wang, Mo. "Styles cognitifs des élèves chinois de l'enseignement secondaire en Chine et leurs influences sur l'éducation mathématique." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE2088/document.
Full textThe cognitive style is a well-developed and studied domain in western countries, especially in USA, but it is still a new ground for Chinese researchers. This conception is about the personality, the way to treat the received information for individuals, and it can also influence the education, which includes of course the mathematic education. In China, the mathematic is a principle subject at school in the Chinese educational system. With a special background in the society of China, a special educational system has been formed. The secondary education is the most typical in this educational system, and we need to think about the most frequent cognitive styles among Chinese students and also the cognitive style of each student to find the best methods to make the mathematic education better and more appropriate. For this destination, we need to consider the side of learning and the side of teaching. Therefore, our work will start by a presentation of the researches of cognitive styles and those mature theories, which can be our theoretical base, and then we will connect the education of mathematic with cognitive styles by a presentation of the situation of mathematics education in China. With the results of our research, we will analysis and make some advises about the politics of education, of the teaching and learning methods to try to ameliorate the mathematic education in China with help of cognitive styles and this research
D'Ascoli, Joseph. "The Lure of Gambling: What State Governments Can Gain from the Legalization and Expansion of Gambling." Thesis, Boston College, 2006. http://hdl.handle.net/2345/372.
Full textGambling, both in the casino-style and lottery forms, has risen to become a major component of the entertainment industry in the United States. State governments are the gatekeepers of this growing industry, holding the power to legalize and regulate all aspects of gambling. This thesis explores the rationale state governments have for legalizing gambling as well as the impact gambling tax revenues have for state budgets. The main focus is casino-style gambling, as casino-style gambling in particular is being pursued for expansion by numerous states in a variety of forms. As various forms of gambling are legalized throughout the country, a state's gambling interests begin to face competition from both neighboring states and other forms of gambling within the state. Econometric models attempted to predict the tax revenues a state can obtain from legalized gambling based on such competition and a states own demographics. The results support a first-mover advantage for states expanding casino-style gambling and finds that new forms of gambling significantly erode established gambling industries
Thesis (BS) — Boston College, 2006
Submitted to: Boston College. College of Arts and Sciences
Discipline: Economics Honors Program
Estenson, Lilly. "(R)Evolution Grrrl Style Now: Disidentification and Evolution within Riot Grrrl Feminism." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/scripps_theses/94.
Full textSuprina, Joffrey Scott. "Using Life-Style and Coping Resources to Differentiate Between Gay Men With and Without Alcohol Problems: An Adlerian Study." unrestricted, 2006. http://etd.gsu.edu/theses/available/etd-06292006-153529/.
Full textTitle from title screen. Catherine Y. Chang, committee chair; Kenneth B. Matheny, Roy M. Kern, Catherine J. Brack, Brain J. Dew, committee members. Electronic text (74 p.) : digital, PDF file. Description based on contents viewed May 29, 2007. Includes bibliographical references (p. 66-74).
Li, Xin Ling. "Who stole the beat? : black masculinity, hip-hop music, and the black gay men who rap." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708221.
Full textPetersson, Erik, and Oscar Östergaard. "Two Styles of the Insight Creation Process : A multiple case study of how four organizations gain insights from external information." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176559.
Full textFoushee, Kenneth M. "The relationship between adult basic and adult secondary educational instructional styles and learner outcomes when measured as educational gain on the national reporting system." Thesis, University of Missouri - Saint Louis, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3705174.
Full textThe research activity was designed to explore the idea of a predominance of one of two teaching styles, defined as teacher-centered or learner-centered, among adult basic education and adult secondary education teachers in Missouri. The Principles of Adult Learning Scale (Conti, 1985), consisting of 44 questions, was employed to identify the teaching style of respondents. The scores on the survey were compared to the educational outcome measure provided by the Department of Education and State of Missouri with the intention that conclusions as to the efficacy of one of the two styles would be revealed.
The survey was distributed to the 36 adult education programs in Missouri Three total attempts to obtain responses were made during the survey period. Of the 756 full- and part-time teachers in the Missouri system, 89 surveys were returned but due to improperly identified or unidentified numbers, only 34 of the survey responses were deemed usable.
Requiring a minimum sample of approximately 250 upon which to draw inferential conclusions, no generalizations could be drawn about the larger population of Missouri adult basic education and adult secondary education teachers. Descriptive statistics relative to the 34 participants revealed that most of the teachers were female and the highest education level was the doctorate, but most teachers held masters. The sample group average age was above 40 with 42 % older than 60. As to tenure in adult education 62 % of responding teachers had taught adult education for more than five years and 42% greater than 10 years. The 34 teachers favored teacher-centered instructional methods versus student-centered instructional methods.
COSTA, Bárbara Miranda Ferreira. "Repercussões dos fatores socioeconômicos, de estilo de vida e nutricionais no ganho ponderal excessivo no ciclo gravídico-puerperal." Universidade Federal de Goiás, 2010. http://repositorio.bc.ufg.br/tede/handle/tde/1774.
Full textThe excessive gestational weight gain can cause harmful consequences for both the mother and for the fetus. Nutritional, lifestyle, economic and social factors can affect the weight gain above recommendations. Objectives: To evaluate the nutritional (caloric intake, macro and micronutrients), lifestyle (smoking, physical activity, reproductive behavior) and economic (income) factors associated with the excessive weight gain in eutrophic pregnant women. Methods: This case-control study included 200 low-risk pregnant women in 2 public obstetric hospitals in Goiás, Brazil. The women that agreed to this study were divided in 2 groups: cases with excessive weight gain (> 16Kg) and controls within the recommended weight gain for eutrophic pregnant (11.50 < a < 16Kg), matched on age. The women were inquired about their food intake during the gestational period, by means of a quantitative and qualitative food-frequency questionnaire validated and adapted to the low income regional people. The women were inquired about their economic and lifestyle conditions, too. The software for statistical analyze were the SPSS version 17.0. Were used the folowing tests: Kolmogorov-Smirnov, Fisher, Student´s t, chi-square (x²), odds ratio (CI 95%), Mann-Whitney, Spearman´s correlation coefficient and multivariate linear regression. Results: The median age was 25.00 (22.00-29.00) years-old for cases and 24.00 (22.00-28.00) years-old for controls (p=0.52). The median per capita income was R$ 303.75 (225.60-500.00) for cases and R$ 333.33 (175.00-480.00) for controls (p=0.41). The median education level was 10.50 (9.00-12.00) years for cases and 11.00 (9.00-12.00) years for controls (p=0.77). There was 13.00 (13%) smokers among cases and 8.00 (8%) among controls (p=0.25). The frequency of regular physical activity was 28.00 (28%) pregnant women among cases and 31.00 (31%) among controls (p=0.65). About the reproductive behavior, there were no differences between groups for the parity (p=0.45) and abortion (p=0.90). The birth interval was 27.00 (0.00-60.75) months in cases and 22.50 (0.00-47.75) in controls (p=0.34). The following variables showed in the univariate analysis a significant correlation coefficient (ρ) to the weight gain: calories = 0.15 (p=0.04), protein = 0.16 (p=0.03), total cholesterol = 0.21 (p<0.01), retinol = 0.21 (p<0.01), iron = 0.18 (p=0.01), zinc = 0.15 (p=0.04), selenium = 0.19 (p<0.01) and phosphorus = 0.16 (p=0.03). The median of the satured fat intake was 36.57 grams (23.37 51.06) in the case group and 28.21 grams (19.92 41.90) in the control group (p=0.04). In the multivariate analysis the protein intake was the only independente variable associated with excessive pregnant weight gain. Conclusion: The factors associated with the excessive weight gain in the group of cases were total caloric intake, proteins, satured fat, cholesterol, retinol, iron, zinc, selenium and phosphorus, and in special, the protein intake. Lifestyle and economic factors didn t affect weight gain.
O ganho ponderal excessivo na gestação pode trazer consequências maléficas tanto para a mãe quanto para o feto. Fatores sociais, econômicos, de estilo de vida e nutricionais podem ser responsáveis por este ganho de peso acima das recomendações. Objetivos: Avaliar os fatores econômicos (renda), de estilo de vida (tabagismo, prática de atividade física, comportamento reprodutivo) e nutricionais (consumo calórico, macro e micronutrientes) que podem estar relacionados ao ganho de peso excessivo em gestantes eutróficas. Metodologia: Este estudo de caso-controle incluiu 200 gestantes de baixo risco obstétrico de 2 maternidades públicas do Estado de Goiás. Todas as gestantes que concordaram em participar do estudo foram divididas em 2 grupos: casos com ganho de peso excessivo (> 16Kg) e controles com ganho de peso dentro do recomendado (11,50 < a < 16Kg), pareados por idade. As mulheres foram entrevistadas com relação ao seu consumo alimentar durante o período gestacional através de um questionário quantitativo e qualitativo de frequência de consumo alimentar validado e adaptado à população regional de baixa renda. Elas também foram questionadas sobre sua condição econômica e de estilo de vida. A análise estatística foi realizada através do programa SPSS, versão 17.0. Foram aplicados os testes de Kolmogorov-Smirnov, Fisher, t de Student, qui-quadrado (x²), odds ratio (IC 95%), Mann-Whitney, coeficiente de correlação de Spearman e regressão linear multivariada. Resultados: A mediana da idade das pacientes foi 25,00 (22,00-29,00) anos para os casos e 24,00 (22,00-28,00) anos para os controles (p=0,52). A renda per capita foi de R$ 303,75 (225,60-500,00) para casos e R$ 333,33 (175,00-480,00) para controles (p=0,41). A mediana de escolaridade foi de 10,50 (9,00-12,00) anos para casos e 11,00 (9,00-12,00) anos para controles (p=0,77). Houve 13,00 (13%) fumantes no grupo de casos e 8,00 (8%) no grupo de controles (p=0,25). A frequência da prática de atividade física regular foi de 28,00 (28%) das gestantes nos casos e 31,00 (31%) nos controles (p=0,65). Em relação ao comportamento reprodutivo, não houve diferenças entre a frequência de paridade (p=0,45) e abortos (p=0,90) entre os grupos. O intervalo intergestacional foi de 27,00 (0,00-60,75) meses entre os casos e de 22,50 (0,00-47,75) meses entre os controles (p=0,34). As seguintes variáveis apresentaram na análise univariada um coeficiente de correlação (ρ) com o ganho de peso significante: calorias = 0,15 (p=0,04), proteínas = 0,16 (p=0,03), colesterol total = 0,21 (p<0,01), retinol = 0,21 (p<0,01), ferro = 0,18 (p=0,01), zinco = 0,15 (p=0,04), selênio = 0,19 (p<0,01) e fósforo = 0,16 (p=0,03). A mediana do consumo de gordura saturada foi de 36,57 gramas (23,37 - 51,06) no grupo de casos e 28,21 gramas (19,92 - 41,90) no grupo controle (p=0,04). Na análise multivariada o consumo protéico foi a única variável independente relacionada ao ganho de peso excessivo na gestação. Conclusão: O consumo calórico, as proteínas, a gordura saturada, o colesterol, o retinol, ferro, zinco, selênio e fósforo estiveram relacionados ao maior ganho ponderal observado no grupo de casos, em especial o consumo protéico. Os fatores econômicos e de estilo de vida não influenciaram o ganho de peso.
Books on the topic "Style GAN"
Bolin, Lin, Zhu Yanhui, and Du Peizhen, eds. Dang zheng gan bu shi yong wen ti du xie. Taiyuan: Shanxi ren min chu ban she, 1986.
Find full textCao, Yizhen. "Hong lou meng" qing gan jiang shu yu ci de xu shi gong neng. Hangzhou: Zhejiang da xue chu ban she, 2015.
Find full textDong Han Gan Lingxiang shang bo can bei: Dong Han zhao hou xiao zi can bei. [Nanning]: Guangxi mei shu chu ban she, 2002.
Find full text1725-1805, Wessely Naphtali Herz, Sanders Yehonatan, and Yeshivat ha-hesder Rishon le-Tsiyon "Otsrot ḥayim.", eds. Gan naʻul: U-vo sheloshah batim ... : kol elu ḥeleḳ mi-maʻarekhet sefarim be-shem "Levanon", ha-ba le-varer ule-laben yesodot ṿe-shorshe leshon ha-ḳodesh, meshalaṿ u-melitsotaṿ. Rishon le-Tsiyon: Yeshivat ha-hesder Rishon le-Tsiyon "Otsrot ḥayim", 2016.
Find full textZheng gang Tai cai 100 dao. Taibei Xian Zhonghe Shi: Shan shu fang wen hua shi ye you xian gong si, 2010.
Find full textBook chapters on the topic "Style GAN"
Melnyk, Virginia Ellyn. "Punch Card Patterns Designed with GAN." In Proceedings of the 2021 DigitalFUTURES, 69–79. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_7.
Full textMadi, Boraq, Reem Alaasam, Ahmad Droby, and Jihad El-Sana. "HST-GAN: Historical Style Transfer GAN for Generating Historical Text Images." In Document Analysis Systems, 523–37. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06555-2_35.
Full textYang, Zuoyun, and Hongqiong Huang. "Comic Image Style Transfer Based on De-GAN." In Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023), 949–56. Dordrecht: Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-198-2_99.
Full textRaju, Jaya Chandra, Kompella Subha Gayatri, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, and Mohanasankar Sivaprakasam. "MIST GAN: Modality Imputation Using Style Transfer for MRI." In Machine Learning in Medical Imaging, 327–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87589-3_34.
Full textVidal-Gorène, Chahan, Jean-Baptiste Camps, and Thibault Clérice. "Synthetic Lines from Historical Manuscripts: An Experiment Using GAN and Style Transfer." In Image Analysis and Processing - ICIAP 2023 Workshops, 477–88. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51026-7_40.
Full textShu, Jian, Yuehui Chen, Yi Cao, and Yaou Zhao. "SA-GAN: Chinese Character Style Transfer Based on Skeleton and Attention Model." In Lecture Notes in Computer Science, 576–87. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4742-3_48.
Full textYao, Xu, Alasdair Newson, Yann Gousseau, and Pierre Hellier. "A Style-Based GAN Encoder for High Fidelity Reconstruction of Images and Videos." In Lecture Notes in Computer Science, 581–97. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19784-0_34.
Full textHuang, Yaoxiong, Mengchao He, Lianwen Jin, and Yongpan Wang. "RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering." In Computer Vision – ECCV 2020, 156–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58539-6_10.
Full textLi, Yuqian, Weiguo Xu, and Xingchen Liu. "Research on Architectural Generation Design of Specific Architect's Sketch Based on Image-To-Image Translation." In Computational Design and Robotic Fabrication, 314–25. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_28.
Full textChen, Yen-Chia, Lieu-Hen Chen, Hiroki Shibata, and Yasufumi Takama. "Styled Comic Portrait Synthesis Based on GAN." In Advances in Intelligent Systems and Computing, 69–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96451-1_7.
Full textConference papers on the topic "Style GAN"
Zuo, Zhiwen, Lei Zhao, Shuobin Lian, Haibo Chen, Zhizhong Wang, Ailin Li, Wei Xing, and Dongming Lu. "Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/693.
Full textSakao, Naho, and Yoshinori Dobashi. "Fonts Style Transfer using Conditional GAN." In 2019 International Conference on Cyberworlds (CW). IEEE, 2019. http://dx.doi.org/10.1109/cw.2019.00075.
Full textGao, Jingzhi, and Xuesong Su. "Style-Infused Image Restoration with GAN." In 2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC). IEEE, 2023. http://dx.doi.org/10.1109/icceic60201.2023.10426692.
Full textZhou, Zhiyao, Yi Yang, Zhuohao Cai, Yusi Yang, and Lan Lin. "Combined Layer GAN for Image Style Transfer*." In 2019 IEEE International Conference on Computational Electromagnetics (ICCEM). IEEE, 2019. http://dx.doi.org/10.1109/compem.2019.8778838.
Full textWu, Xiao, Yaochen Li, Zelin Hao, Chuan Wu, Xiaochun Wang, and Yuehu Liu. "Image Style Transformation Based on structure GAN." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8996315.
Full textMao, Wenyu, Jixing Li, Xiaozhou Guo, Ronxuan Shen, Huaxiang Lu, Zhanzhong Cao, Xinggang Wang, and Chi Zhang. "SSCGAN: speech style conversion based on GAN." In International Conference on Algorithms, Microchips, and Network Applications, edited by Fengjie Cen and Ning Sun. SPIE, 2022. http://dx.doi.org/10.1117/12.2636492.
Full textMittermueller, Martina, Zhanxiang Ye, and Helmut Hlavacs. "EST-GAN: Enhancing Style Transfer GANs with Intermediate Game Render Passes." In 2022 IEEE Conference on Games (CoG). IEEE, 2022. http://dx.doi.org/10.1109/cog51982.2022.9893673.
Full textLi, Xiang, Lei Wu, Changshuo Wang, Lei Meng, and Xiangxu Meng. "Compositional Zero-Shot Artistic Font Synthesis." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/122.
Full textBui, Nhat-Tan, Hai-Dang Nguyen, Trung-Nam Bui-Huynh, Ngoc-Thao Nguyen, and Xuan-Nam Cao. "Efficient loss functions for GAN-based style transfer." In Fifteenth International Conference on Machine Vision (ICMV 2022), edited by Jianhong (Jessica) Zhou, Wolfgang Osten, and Dmitry P. Nikolaev. SPIE, 2023. http://dx.doi.org/10.1117/12.2679248.
Full textLiu, Yinquan, and Zhuang Chen. "Research on GAN-based Text Effects Style Transfer." In 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2021. http://dx.doi.org/10.1109/iciscae52414.2021.9590780.
Full textReports on the topic "Style GAN"
McKinnon, Mark, Craig Weinschenk, and Daniel Madrzykowski. Modeling Gas Burner Fires in Ranch and Colonial Style Structures. UL Firefighter Safety Research Institute, June 2020. http://dx.doi.org/10.54206/102376/mwje4818.
Full textIelpi, A., R. H. Rainbird, and W. J. Davis. Record of Precambrian orogenic unroofing preserved in fluvial strata of western Nunavut. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332496.
Full textLutz, Carsten. Adding Numbers to the SHIQ Description Logic - First Results. Aachen University of Technology, 2001. http://dx.doi.org/10.25368/2022.117.
Full textStakes, Keith, Keith Stakes, Julie Bryant, Nick Dow, Jack Regan, and Craig Weinschenk. Analysis of the Coordination of Suppression and Ventilation in Multi-Family Dwellings. UL Firefighter Safety Research Institute, June 2020. http://dx.doi.org/10.54206/102376/ympj4047.
Full textLaw, Edward, Samuel Gan-Mor, Hazel Wetzstein, and Dan Eisikowitch. Electrostatic Processes Underlying Natural and Mechanized Transfer of Pollen. United States Department of Agriculture, May 1998. http://dx.doi.org/10.32747/1998.7613035.bard.
Full textShiihi, Solomon, U. G. Okafor, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Improving the Outcome of GMP Inspections by Improving Proficiency of Inspectors through Consistent GMP Trainings. Purdue University, November 2021. http://dx.doi.org/10.5703/1288284317433.
Full textQuestioning hierarchies: Senior leaders’ views on how global civil services changed during the pandemic. People in Government Lab, July 2022. http://dx.doi.org/10.35489/bsg-peoplegov-rp_2022/003.
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