Human motion generation is a cut-edge area of research in generative computer vision, with
promising applications in video creation, game development, and robotic manipulation. The …

Since existing music-driven dance generation methods have abnormal motion when
generating dance sequences which leads to unnatural overall dance movements, a music …

We present DanceAnyWay, a generative learning method to synthesize beat-guided dances
of 3D human characters synchronized with music. Our method learns to disentangle the …

Keyframe‐based motion synthesis holds significant effects in games and movies. Existing
methods for complex motion synthesis often require secondary post‐processing to eliminate …

In the realm of dance generation from music, several challenges prominently stand out: the
complexity of the raw data, the diversity of the generated outcomes, and the high standards …

Transformer is an encoder-decoder architecture based on the self-attention mechanism,
which can effectively obtain global information and has shown great strength in the …

The purpose of this article is to propose an effective dance art movement identification and
classification algorithm by combining ML (Machine Learning) and computer technology, and …

This paper aims to explore the application of computer-aided multimodal fusion technology
in the digital remodeling of dance art so as to realize high-precision digital expression and …