Academic literature on the topic 'Dunhuang murals'

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Journal articles on the topic "Dunhuang murals"

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Liu, Fei, Irwan Syah Md Yusoff, and Hassan Alli. "Exploring Shape and Colors from Existing Silk Scarf by Integrating Chinese Dunhuang Mural Elements to Contemporary Perception from Historical Evolution and Cultural Perspective in China." Herança 8, no. 1 (2024): 164–76. https://doi.org/10.52152/heranca.v8i1.815.

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Dunhuang murals are the world's oldest and most culturally rich world-class cultural treasure in China. How combining classical Dunhuang murals with new-era clothing and jewelry design is crucial for the inheritance and development of Dunhuang culture. Based on analyzing the line and shape architecture of Dunhuang murals, this study interprets the aesthetic attributes of Dunhuang murals' designs and further reveals the aesthetic attributes of Dunhuang murals' colors from the perspectives of color style and cultural connotations. Based on the above aesthetic and cultural factors, this study fur
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Wan, Yingdi. "Research on Dynasty Classification of Dunhuang Murals Based on Convolutional Neural Networks." Frontiers in Computing and Intelligent Systems 9, no. 2 (2024): 70–74. http://dx.doi.org/10.54097/dxrb0332.

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Dunhuang Murals are one of China's intangible cultural heritages, which have received extensive attention. Identifying and classifying the dynasties of ancient murals quickly and accurately is extremely important for the study of Dunhuang Murals and the digital protection and inheritance. A method to classify Dunhuang Murals dynasties based on convolutional neural network (CNN) is proposed in this paper. First, the Dunhuang Murals data set is constructed from the mural materials; then, four convolutional neural network models with different depths and structures are constructed and trained; fi
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Wan, Yingdi. "Research on Dynasty Classification of Dunhuang Murals Based on Convolutional Neural Networks." Transactions on Computer Science and Intelligent Systems Research 2 (December 21, 2023): 170–77. http://dx.doi.org/10.62051/t1svva22.

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Dunhuang Murals are one of China's intangible cultural heritages, which have received extensive attention. Identifying and classifying the dynasties of ancient murals quickly and accurately is extremely important for the study of Dunhuang Murals and the digital protection and inheritance. A method to classify Dunhuang Murals dynasties based on convolutional neural network (CNN) is proposed in this paper. First, the Dunhuang Murals data set is constructed from the mural materials; then, four convolutional neural network models with different depths and structures are constructed and trained; fi
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Jia, Miao, Jie Hu, Zhongliang Yang, Weijie Liu, Jin Qi, and Bin Chen. "Automatic Restoration of Dunhuang Murals and Process Visualization Method Based on Deep Learning." Applied Sciences 15, no. 3 (2025): 1422. https://doi.org/10.3390/app15031422.

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Dunhuang murals are an important part of human cultural heritage with extraordinary literary and historical value. However, with the influences of time and the environment, many murals have suffered large defects and require complete reconstructions of their historical information, which is difficult. Moreover, the manual restoration of murals is complicated and slow. We attempted to use deep learning techniques to restore two types of damaged murals, including central regular defects and random irregular defects. First, we created a dataset of 26,240 Dunhuang murals for model training. Second
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Cheng, Lu, Xu Gao, and Xin Tian. "The Application of Digital Technology in Mural Preservation: A Case Study of Dunhuang Animation." Art Style, Art & Culture International Magazine 14, no. 14 (2024): 97–111. https://doi.org/10.5281/zenodo.13356653.

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With the development of digital technology, the rich culture, outstanding artworks and Buddhist resources in <em>Dunhuang Mogao</em>Grottoes are being presented to the public in a unique form. Among them, the creative method of integrating mural elements with artistic styles and applying them to animation works has attracted wide attention. This kind of animation technology can not only restore the mural heritage of <em>Mogao</em> Grottoes more vividly, but also greatly innovate the presentation of mural art. It is a new platform and an important medium for displaying and disseminating <em>Dun
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Wang, Xiaoguang, Ningyuan Song, Lu Zhang, and Yanyu Jiang. "Understanding subjects contained in Dunhuang mural images for deep semantic annotation." Journal of Documentation 74, no. 2 (2018): 333–53. http://dx.doi.org/10.1108/jd-03-2017-0033.

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Purpose The purpose of this paper is to understand the subjects contained in the Dunhuang mural images as well as their relation structures. Design/methodology/approach This paper performed content analysis based on Panofsky’s theory and 237 research papers related to the Dunhuang mural images. UNICET software was also used to study the correlation structures of subject network. Findings The results show that the three levels of subject have all captured the attention of Dunhuang mural researchers, the iconology occupy the critical position in the whole image study, and the correlation between
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Jiang, Chao, Zhen Jiang, and Daijiao Shi. "Computer-Aided Virtual Restoration of Frescoes Based on Intelligent Generation of Line Drawings." Mathematical Problems in Engineering 2022 (June 24, 2022): 1–9. http://dx.doi.org/10.1155/2022/9092765.

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Dunhuang frescoes are one of China’s precious historical and cultural heritages, but this treasure trove of human art has become very fragile due to natural weathering damage and the threat of major natural disasters. Therefore, the preservation of Dunhuang murals has become an urgent task. Digital fresco conservation and restoration work can preserve fresco information permanently, and can use computers to virtually repair frescoes, assist in fresco conservation, assist in fresco copying, virtually evolve the fresco disease process, and virtually display fresco realism. Digital fresco conserv
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Suo, Xiaofan, and Nadia Binti Mohd Nasir. "The Integration of Dunhuang Murals from The Tang Dynasty and Modern Clothing Design." International Journal of Education and Humanities 14, no. 1 (2024): 155–59. http://dx.doi.org/10.54097/sbqe3s19.

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Dunhuang murals are an artistic treasure of world cultural heritage. Dunhuang murals were in their heyday during the Tang Dynasty. The murals of this period were extremely artistic and representative. Integrating them with modern clothing design has great cultural significance and room for development. This article explores the integration of Dunhuang murals in the Tang Dynasty and modern clothing design, introduces the brief history and development of Dunhuang murals in the Tang Dynasty, summarizes the design principles and practices for research, and provides theoretical basis and design ref
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Chen, Si, Verly Veto Vemol, and Hasma Biti Ahmad. "Explore the Interaction of Artists, Audience and Social Context in the Digital Communication of Dunhuang Murals." International Journal of Religion 5, no. 10 (2024): 4489–98. http://dx.doi.org/10.61707/j0g5vj39.

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The Belt and Road Initiative, as an innovative continuation of the ancient Silk Road, provides a possibility for the exchange and docking of cultural values of countries around the world. As a cultural name card of China, Dunhuang culture is not only an important source of cultural consciousness and self-confidence, but also the best medium for cultural exchange and dialogue between the East and the West. Digital communication has the advantages of fast speed, wide audience and vivid information presentation, which opens up a new path for the inheritance and protection of Dunhuang culture. The
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Sun, Zhudi, Diya Zhao, and Hongmiao Zhang. "The Innovative Application of Dunhuang Murals Patterns in Cultural Creation Design." Journal of Education, Humanities and Social Sciences 5 (November 23, 2022): 149–62. http://dx.doi.org/10.54097/ehss.v5i.2897.

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Dunhuang murals are abundant in art. Tiger is a vital animal element. It is well represented in the design of cultural and creative products. Tiger elements on the murals not only possess the nature of the tiger totem in Chinese traditional culture but also have a profound religious connotation and convey unique artistic characteristics. The paper takes the tiger elements in part of the murals in Dunhuang as the staring poing, focuses on the cultural connotation of tiger elements in Dunhuang murals. Data collection was conducted to grasp the sales of cultural and creative products. Moreover, a
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Dissertations / Theses on the topic "Dunhuang murals"

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Lin, Fan 1972. "Visual images of Vimalakīrti in the Mogao caves (581-1036)." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98553.

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This thesis examines the visual images of Vimalakirti, an ancient Indian lay Buddhist, painted on the walls of the Buddhist cave complex at Dunhuang, Gansu province, between 581 and 1036. The sixty-nine Vimalakirti, paintings preserved at Dunhuang are a valuable source for the exploration of historical, religious, and artistic dimensions of wall paintings and sutras. These visual images, together with other textual sources such as sutras, commentaries, and inscriptions, suggest a variety of interesting questions: Why was this theme repeatedly represented? Do the images all have the same protot
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Wu, Ming-Kuo. "The Jataka tales of the Mogao Caves, China in anthropological perspective." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Dissertations/Spring2008/m_wu_041808.pdf.

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Zhang, Huiming. "Iconographie de Mañjuśrī et du mont Wutai en Chine médiévale : une étude d’après les matériaux picturaux de Dunhuang du VIIe – au Xe siècle." Paris, EPHE, 2011. http://www.theses.fr/2011EPHE4023.

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De nombreuses peintures de Dunhuang réalisées entre le VIIe et le Xe siècle représentent Mañjuśrī chevauchant un lion, en lien avec le mont Wutai. Ce thème compte parmi les plus connus de l’iconographie bouddhique de la Chine médiévale. La majorité de peintures murales traitant de ce sujet se trouvent dans les grottes de Mogao. La thématique picturale d’origine indienne a ici parfaitement été adaptée au contexte chinois. Le présent travail s’est attaché à l’étude des sources bouddhiques et laïques chinoises et en particulier à une analyse des prototypes et des modèles de représentation dans le
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CHUNG, CHEN HSIN, and 陳信忠. "A Study on Landscape in Tang Dynasty of Dunhuang Murals." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/48450056016398965335.

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碩士<br>中國文化大學<br>藝術研究所美術組碩士在職專班<br>95<br>This paper is aimed to discuss the landscape painting’s overall style, artistic conception , space construction, modeling, drawing and ink expression in Dunhuang Mogao Grottoes Murals in Tang Dynasty by means of exploring the factors of Buddhism dissemination, features of Buddhistic art, Dunhuang mural style, the inner meaning, the evolution and history of landscape painting. As well as attempting to find out the possible connections between landscape murals and Yellow River culture. Considering of the particular geographic position and its cultural
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Yang, Yi-Gong, and 楊懿恭. "A Study about the Murals of the Lotus Sutra in Tang Dynasty in Dunhuang." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/91350653180624537351.

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Chang, Chiao-Hsin, and 張巧欣. "A Study on The Buddha’s Life Murals of The cave 290 in Dunhuang Mogao Grottoes." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/03540138224695876840.

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碩士<br>華梵大學<br>東方人文思想研究所<br>96<br>Abstract The Mogao Grottoes are located on the precipitous face of the east ridge of the Mingsha Mountains, twenty-five kilometers southeast of Dunhuang City, Gansu province. After being carved and painted by several dynasties, the grottoes have become a gorgeous and majestical grottoes cluster. Mogao Grottoes art includes architectures, painted sculptures, and murals. Among them, murals are the largest and richest parts and most of them are about The Buddha’s Life Murals. So The Buddha’s Life Murals are the important materials of the murals. The Buddha’s
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CHEN, RUI-FANG, and 陳瑞芳. "Chinese and Western Culture Comparative Perspective Further Study The Dynasties of Tang Dynasty Murals in Dunhuang Caves." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6qat4z.

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碩士<br>樹德科技大學<br>應用設計研究所<br>106<br>The splendid legendary Dunhuang frescoes are to be found in the deserts of China! Dunhuang is located west of Hexi Corridor, an important junction of the “Silk Road.” It is also known as “the city where the Chinese and foreigners met” in history, for it is where the Buddhist culture was first introduced into China, and where Chinese, Indian, Greek and Islamic cultures converged together. The unique historical and spatial background of Dunhuang created not just a multicultural society, but exotic and beautiful art! As Northern Liang and Northern Wei reigned ove
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CHIANG, YIN-HSIU, and 江尹琇. "A Study on the Ancient Flying Fairies of Dunhuang Murals and An Explanation of Artworks About Flying Fairies Which Chiang, Yin-Hsiu Innovated." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/96027874913942621133.

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碩士<br>國立臺灣師範大學<br>美術學系<br>98<br>The main topics of this thesis include “ the Flying Fairies of Dunhuang ” and “Ancient Classic and Innovation”, which are the creative, thematic objectives of Chiang Yin-Hsiu’s artworks. The Flying Fairies images from the various dynasties of Dunhuang Murals have high value for artistic research. The Flying Fairies are commonly referred to as “Fei Tian” in Mandarin. The    Dunhuang Flying Fairies originated in India and are otherwise known as Gandharva. Dunhuang Murals are bright and splendid legends in the deserts of China! Dunhuang is located in the we
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Wang, Han-Lei, and 王瀚磊. "Dunhuang Mural Restoration using Deep Learning." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/xcuc47.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>106<br>The art of Dunhuang Grottoes is mainly composed of three forms: building, sculpture, and murals. With the passage of time, the art of Dunhuang Grottoes has suffered from tremendous damage, and making it difficult to repair. With Virtual Reality, we can even observe the digital preservation of Dunhuang Caves in virtual environment as if we are in Dunhuang by modeling the caves and preserve mural as textures. However, we still cannot have a glimpse of how the grottoes look like without damage. With the ever-changing nature of deep learning, it is widely used in
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Tsui, Yang Fu, and 楊馥翠. "The Analysis of Dunhuang Landscape Mural In Tang Dynasty." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/54274765822404358757.

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碩士<br>國立臺南藝術大學<br>藝術史與藝術評論研究所<br>94<br>This article draws up connections between Dunhuang transformed landscape murals from texts and Yellow River culture as well the development of landscape murals in Tang dynasty. Because of the special geographical position and its cultural features of Dunhuang, this article takes Shi Weihsiang(史葦湘) as the divide by time. In another word, it cuts the Tang dynasty into four main portions- early Tang period (618~705), the glorious period of Tang dynasty (706~ 780), middle Tang period (781~ 847), the late Tang period(848~ 906) to discuss about the form develop
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Books on the topic "Dunhuang murals"

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Guan, Shanyue. Guan Shanyue lin mo Dunhuang bi hua =: The copy-paintings of Dunhuang murals by Guan Shanyue. Han mo xuan chu ban you xian gong si, 1991.

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Ma, Shichang. Dunhuang tu an. Xinjiang mei shu she ying chu ban she, 1992.

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Peng, Huashi. Dunhuang Mogao ku. 2nd ed. Wen wu chu ban she, 2011.

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Youhui, Guan, and Guan Jinwen, eds. Dunhuang tu an. Gansu ren min mei shu chu ban she, 1996.

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translator, Lin Baoyao, Zhao Shengliang translator, and Li Mei translator, eds. Dunhuang hua yan jiu. Zhejiang da xue chu ban she, 2019.

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guan, Zhongguo mei shu, and Dunhuang yan jiu yuan (China), eds. Sheng shi he guang: Dunhuang yi shu = The lights of DunHuang. Ren min jiao yu chu ban she, 2008.

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Guan, Youhui. Dunhuang zhuang shi tu an. Hua dong shi fan da xue chu ban she, 2010.

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Guan, Youhui. Dunhuang zhuang shi tu an. 2nd ed. Hua dong shi fan da xue chu ban she, 2016.

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Zhongguo bi hua quan ji bian ji wei yuan hui., ed. Zhongguo Dunhuang bi hua quan ji. Liaoning mei shu tu ban she, 1996.

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1944-, Chai Jianhong, ed. Xiao guan ni shang: Dunhuang yue wu = Dunhuang yuewu. Gansu jiao yu chu ban she, 2007.

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Book chapters on the topic "Dunhuang murals"

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Dai, Hong, and Mastika B. Lamat. "Motion Representation of Images in Dunhuang Flying Apsaras Murals." In Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-046-6_51.

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Yuan, Qingshu, Dongming Lu, Qi Wu, and Gang Liu. "Large Area Interactive Browsing for High Resolution Digitized Dunhuang Murals." In Transactions on Edutainment III. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-11245-4_15.

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Chen, Ming, Xudong Zhao, and Duanqing Xu. "FSIS: Fast and Seamless Image Stitching of High-Resolution Dunhuang Murals." In Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3867-4_37.

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Liu, Zixiao. "Tangible Sumeru: Enhancing AR Interactive Narrative Experience with 3D-Printed Assemblies for Dunhuang Grotto Murals." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78561-0_31.

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Tang, Yonghe. "Digital Representation of Social Structures and Spatial Forms in Dunhuang Murals: A Study on the Protection and Inheritance of Cultural Heritage Based on Narrative Space Theory." In Advances in Social Science, Education and Humanities Research. Atlantis Press SARL, 2025. https://doi.org/10.2991/978-2-38476-440-2_103.

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Liu, Baokai, Shiqiang Du, Jiacheng Li, Jianhua Wang, and Wenjie Liu. "Dunhuang Mural Line Drawing Based on Bi-Dexined Network and Adaptive Weight Learning." In Pattern Recognition and Computer Vision. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18907-4_22.

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Ogura, D., T. Hase, Y. Nakata, et al. "Influence of Environmental Factors on Deterioration of Mural Paintings in Mogao Cave 285, Dunhuang." In Case Studies in Building Rehabilitation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49202-1_6.

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"Moral Education from the Dunhuang Murals." In The Dunhuang Grottoes and Global Education. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13356-6_4.

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"Images of Healing, Hygiene and the Cultivation of the Body in the Dunhuang Cave Murals." In Imagining Chinese Medicine. BRILL, 2018. http://dx.doi.org/10.1163/9789004366183_020.

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Sha, Wutian. "Images of Silk along the Silk Roads: Dunhuang Mural Paintings and Tang Funerary Figurines." In Beyond the Silk and Book Roads. BRILL, 2023. http://dx.doi.org/10.1163/9789004687066_010.

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Conference papers on the topic "Dunhuang murals"

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Wang, Huan, Jiaxuan Cheng, and Lingyu Liang. "A New Dunhuang Murals Inpainting Method with Adaptive Selection Module." In 2024 5th International Conference on Information Science and Education (ICISE-IE). IEEE, 2024. https://doi.org/10.1109/icise-ie64355.2024.11025510.

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Ren, Hui, Chengya Zhang, Ke Sun, and Chenyu Ye. "Dunhuang murals image inpainting method based on fusion classification pre-training model." In 2024 International Conference on Culture-Oriented Science & Technology (CoST). IEEE, 2024. http://dx.doi.org/10.1109/cost64302.2024.00013.

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Wang, Chenrui, Yi Fu, Diao Zhou, and Ze Shi. "Dunhuang Mural Restoration Based on Generative Adversarial Networks." In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025. https://doi.org/10.1109/nnice64954.2025.11064485.

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Huang, Qiangying. "MFMSA-GAN: multifrequency multiscale attention enhanced GAN for Dunhuang mural face inpainting." In International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2025), edited by Haiquan Zhao and Xinhua Tang. SPIE, 2025. https://doi.org/10.1117/12.3070657.

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Lianji, Huang, and Zhang Haihong. "Research and Application of Dunhuang Mural Image Restoration Technology Based on Deep Learning." In 2024 International Conference on Electronics and Devices, Computational Science (ICEDCS). IEEE, 2024. https://doi.org/10.1109/icedcs64328.2024.00068.

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Huang Wei and Wang Shuwen. "Dunhuang murals inpainting based on image decomposition." In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccsit.2010.5564944.

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Xu, Zishan, Minda Yao, Wei Chen, et al. "Restoration of Dunhuang Murals on Large-scale pretraining." In SPML 2023: 2023 6th International Conference on Signal Processing and Machine Learning. ACM, 2023. http://dx.doi.org/10.1145/3614008.3614024.

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Li, Jiacheng, Yuqing Shi, Wenjie Liu, Jianhua Wang, and Shiqiang Du. "Progressive Dunhuang Murals Inpainting Based on Attention Mechanism." In 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML). IEEE, 2023. http://dx.doi.org/10.1109/prml59573.2023.10348292.

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Liu, Wenjie, Yuqing Shi, Jiacheng Li, Jianhua Wang, and Shiqiang Du. "Multi-stage Progressive Reasoning for Dunhuang Murals Inpainting." In 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML). IEEE, 2023. http://dx.doi.org/10.1109/prml59573.2023.10348363.

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Chen, Ming, Yong-Chao Wang, Lei Zhao, and Duan-Qing Xu. "Fast Parallel Compositon of Dunhuang Murals based on Matrix Tearing." In 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016). Atlantis Press, 2017. http://dx.doi.org/10.2991/icwcsn-16.2017.34.

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