Yong-Jin Liu, Professor, Tsinghua University, China

Title: Two Case Studies on AI+VR Technology for Chinese Traditional Culture Dissemination

Abstract： Intangible cultural heritage embodies the crystallization of human wisdom, carrying rich historical, artistic, and scientific value. The advancement of artificial intelligence, human-computer interaction, and virtual reality technologies has brought new opportunities for cultural heritage preservation. In this talk, I will present two recent works utilizing intelligent human-computer interaction technologies for promoting intangible cultural heritage skills. In the first work, focusing on the art of iron flower casting, we developed hardware capable of providing airflow and thermal feedback based on real-time detection of heat sources in virtual reality scenes using the YOLO object recognition algorithm, achieving intelligent feedback according to heat source recognition results. In the second work, regarding the craftsmanship of Hanfu (traditional Chinese clothing), we developed VisHanfu, an interactive learning system based on virtual reality. We conducted high-precision three-dimensional modeling of multiple representative Hanfu artifacts from different dynasties and provided a Hanfu-making experience. By integrating cloth simulation algorithms with motion capture data, we animated 3D avatar wearing Hanfu in dance performances, enabling users to intuitively understand the non-rigid motion effects of the created Hanfu model. Both works show the immense potential of intelligent human-computer interaction technologies in the preservation and dissemination of intangible cultural heritage.

Bio: Yong-Jin Liu is a tenured Full Professor with the Computer Science Department at Tsinghua University. He obtained his Ph.D. degree in 2004 from Hong Kong University of Science & Technology. His research interests include intelligent media processing, computer graphics, computer vision and applied machine intelligence. He is the Director of the Institute of Human-Computer Interaction and Media Integration, Tsinghua University, and the Director of the Intelligent Graphics Committee of the Chinese Society of Image and Graphics (CSIG). He was granted the National Outstanding Youth Fund (2018-2022), and the National Outstanding Youth Fund (2014-2016). He was also selected into the New Century Talent Program of the Ministry of Education, China (2011). In recent five years, he published more than 100 papers in PAMI/TOG/SIGGRAPH/TIP/TAFFC/TVCG/CVPR/AAAI/CVPR etc, including more than 60 SCI papers and 7 papers were selected as ESI highly cited/hot papers. He received more than 10 best paper awards at outstanding journals and conferences, including twice the Best Paper Award of the International Consortium of Chinese Mathematicians (ICCM). He also received the second prize of the National Technology Invention Award in 2011.

Xiaojun Wu, Professor, Shaanxi Normal University, China

Title: Research on Digital Processing of Calligraphy and Painting Based on AI

Abstract： With the rapid development of AI technology and growing emphasis on traditional cultural protection, digital processing of calligraphy and painting becomes crucial for art inheritance. Traditional works are vulnerable to environmental damage, posing challenges to digital preservation. This report focuses on AI-based digital processing of calligraphy and painting, addressing key issues in digitization, restoration, recognition and intelligent presentation. It proposes deep learning-based image enhancement to improve digital acquisition quality, explores pattern recognition-integrated intelligent restoration for ancient works, and studies AI-based style recognition to support classification and cultural mining. The application in digital museums and heritage protection is discussed, promoting cultural preservation and providing new ideas for traditional art innovation in the digital age.

Bio: Xiaojun Wu received the Ph.D. degree from Northwest University, Xi’an, China, in 2005. He is currently a Professor and Ph.D. supervisor in Shaanxi Normal University. His main research interests include sensor networks, complexity theory and complex systems, pattern recognition and intelligent systems, and embedded systems. He is a Senior Member of the China Computer Federation (CCF), a Member of IEEE and ACM, and an Editorial Board Member of Journal of Shaanxi Normal University. With long-term research experience in intelligent information processing and pattern recognition, he has carried out in-depth research on the integration of AI technology and traditional cultural heritage protection, and has made important progress in the digital processing of calligraphy and painting.