Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives

TL;DR

Lodge is a two-stage diffusion network that generates long, expressive dance sequences from music by combining coarse choreography with detailed motion refinement.

Contribution

Introducing Lodge, a novel coarse-to-fine diffusion architecture with dance primitives and foot contact optimization for long dance generation.

Findings

Successfully generates extremely long dance sequences.

Balances global choreography with local motion details.

Enhances physical realism through foot-ground contact optimization.

Abstract

We propose Lodge, a network capable of generating extremely long dance sequences conditioned on given music. We design Lodge as a two-stage coarse to fine diffusion architecture, and propose the characteristic dance primitives that possess significant expressiveness as intermediate representations between two diffusion models. The first stage is global diffusion, which focuses on comprehending the coarse-level music-dance correlation and production characteristic dance primitives. In contrast, the second-stage is the local diffusion, which parallelly generates detailed motion sequences under the guidance of the dance primitives and choreographic rules. In addition, we propose a Foot Refine Block to optimize the contact between the feet and the ground, enhancing the physical realism of the motion. Our approach can parallelly generate dance sequences of extremely long length, striking a balance between global choreographic patterns and local motion quality and expressiveness. Extensive experiments validate the efficacy of our method.