Three-dimensional motion dataset of Dunhuang dance

The gated recurrent network is used as a time encoder, the parameter regressor regresses the SMPL parameter model, and the attention mechanism is used to amplify the degree of contribution of different frames of the sequence to give the probability of estimating the pose to be true or false on the basis of the human body's real motion AMASS, and then construct the Dunhuang dance 3D action database. This database divides Dunhuang dance into 7 themes, 83 basic movements and 16 long movements.

Better results were obtained in quantitative, qualitative and manual evaluation, which laid the foundation for the preservation, application and development of Dunhuang dance; and provided new ideas for the research, promotion and inheritance of Dunhuang culture. Subsequent utilization of this database can be applied to generative artificial intelligence, digital exhibition and performance of Dunhuang dance culture, education and research of Dunhuang dance, and digital media and entertainment of Dunhuang dance.