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Region-Aware Style Transfer Between Thangka Images via Combined Segmentation and Adaptive Style Fusion

International Conference on Computer Supported Cooperative Work in Design
Thangka is a unique intangible cultural heritage of the Tibet, with a long history and numerous schools, character-ized by distinctive techniques for depicting figures and expressing color.
Yukai Xian   +4 more
semanticscholar   +1 more source

MythPose: Enhanced Detection of Complex Poses in Thangka Figures

Italian National Conference on Sensors
Thangka is a unique form of painting in Tibet, which holds rich cultural significance and artistic value. In Thangkas, in addition to the standard human form, there are also figures with multiple limbs. Existing human pose estimation methods are not well
Yukai Xian   +5 more
semanticscholar   +1 more source

A Style Transfer Model for Thangka Images Based on Fusion of Feature Position Coding and Error Correction

Journal of Computer-Aided Design & Computer Graphics
: Thangka is a unique art style in Tibetan culture, and the secondary creation of thangka images can help people understand the stylistic characteristics of ...
Xinyue Shi   +3 more
semanticscholar   +1 more source

Combining Region-Guided Attention and Attribute Prediction for Thangka Image Captioning Method

IEEE Access
To enhance the understanding of the core regions in Thangka images and improve the richness of generated content during decoding, we propose a Thangka image captioning method based on Region-Guided Feature Enhancement and Attribute Prediction (RGFEAP ...
Fujun Zhang, Wendong Kang, Wenjin Hu
semanticscholar   +1 more source

TOVect: Topology-Optimized Vectorization for Intangible Cultural Heritage Thangka Element Line Art

ACM Multimedia Asia
Thangka art, part of the UNESCO Intangible Cultural Heritage of Humanity, is visually characterized by complex junctions and intricate corners, demand high-fidelity vectorization to preserve its structural integrity and smooth curvilinear aesthetics ...
Anshu Hu   +5 more
semanticscholar   +1 more source

CAM-YOLO: A Multi-Scale Cultural Element Detection Network for Thangka Images

International Conference on Computer Supported Cooperative Work in Design
To fully understand the cultural content of Thangka images and solve the issues of a large number of parameters, low accuracy and slow inference speed of multi-scale cultural element detection model for Thangka images in complex background. In this paper,
Jianjun Xia   +4 more
semanticscholar   +1 more source

Landscape Study on Thangka Miniature Paintings

REVIEW JOURNAL PHILOSOPHY & SOCIAL SCIENCE
An Introduction to Tibetan Buddhist Art -This research paper provides a landscape analysis of Thangka miniature paintings, a traditional Tibetan Buddhist art form. Through qualitative analysis of existing literature, visual analysis of Thangka paintings,
Shivanshi Kothari, Dr. Om Prakash Mishra
semanticscholar   +1 more source

Research on personalised thangka image generation

Other Conferences
Thangka is one of the treasures of Chinese intangible cultural heritage. In order to better achieve the protection and inheritance of thangka images, this article discusses the personalised generation method of thangka main dignity images. In this paper,
Yan Zhao, Ping Zhong, Xi Cao
semanticscholar   +1 more source

Color Analysis of Red and Green in Thangka

Frontiers in Art Research
: This article delves into the application of red and green in thangka art and its visual effects. Through various dimensions such as complementary color theory, the disappearing green and the radiant green, The domain of color application, the ...
Ashuang Zhang
semanticscholar   +1 more source

Construction and Innovative Development of Modern Inheritance System for Tibetan Thangka Drawing Skills

International Journal of Education and Humanities
This article discusses the construction and innovative development path of Tibetan Thangka drawing skills. As a treasure of Tibetan religious painting art, Thangka has profound historical and cultural value and unique artistic style.
Wenyue You
semanticscholar   +1 more source

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