Music-driven choreography is a challenging problem with a wide variety of industrial
applications. Recently, many methods have been proposed to synthesize dance motions …

The study of music-generated dance is a novel and challenging image generation task. It
aims to input a piece of music and seed motions, then generate natural dance movements …

One of the most overlooked challenges in dance generation is that the auto-regressive
frameworks are prone to freezing motions due to noise accumulation. In this paper, we …

It is necessary for the music-to-dance generation to consider both the kinematics in dance
that is highly complex and non-linear and the connection between music and dance …

Generating dance movements from music has been considered a highly challenging task,
as it requires the model to comprehend concepts from two different modalities: audio and …

Although audio-visual representation has been proven to be applicable in many
downstream tasks, the representation of dancing videos, which is more specific and always …

In this paper, we propose a novel framework for music-driven dance motion synthesis with
controllable key pose constraint. In contrast to methods that generate dance motion …

Dance is a creative performance art and must keep coherent with the rhythm and style of
music. To address these issues, most of the existing music-driven dance synthesis methods …

Text-guided image generation aimed to generate desired images conditioned on given
texts, while text-guided image manipulation refers to semantically edit parts of a given image …

It is difficult for traditional generation methods to accurately match dance movements and
dance music in the automatic generation of dance. This paper introduces the technologies …