BeatDance: Generating Beat-Consistent 3D Dance with Hierarchical Spatial-Temporal Modeling

arXiv:2609.37400 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Project page: https://shenxiaojian.github.io/BeatDance

Terminology

Alignment — 36× in this paper · explained in 1 episode
Decoupled Attention — 19× in this paper
Diffusion Model — 18× in this paper · explained in 8 episodes
Consistency — 17× in this paper · explained in 3 episodes
Cycle-Consistent Learning — 12× in this paper
Hierarchical Decoupled Attention — 11× in this paper
Ablation — 9× in this paper · explained in 1 episode
Benchmark — 7× in this paper · explained in 2 episodes
Diffusion Models — 7× in this paper · explained in 6 episodes
Ablation study — 5× in this paper · explained in 1 episode
Latent Diffusion Model — 5× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 4× in this paper
Latent Space — 4× in this paper · explained in 7 episodes
Transformer — 4× in this paper · explained in 2 episodes
Denoising Diffusion Probabilistic Models — 3× in this paper
Embeddings — 3× in this paper · explained in 2 episodes
Fidelity — 3× in this paper · explained in 2 episodes
International Conference on Learning Representations — 3× in this paper
Ablation Studies — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Diffusion Process — 2× in this paper · explained in 2 episodes
European Conference on Computer Vision — 2× in this paper
Generative Adversarial Network — 2× in this paper
International Conference on Machine Learning — 2× in this paper
Latent Representation — 2× in this paper · explained in 2 episodes
Physical Constraints — 2× in this paper · explained in 7 episodes
Variational Autoencoder (VAE) — 2× in this paper · explained in 3 episodes
Actor — 1× in this paper · explained in 3 episodes
AdamW Optimizer — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Attention Mechanism — 1× in this paper · explained in 2 episodes
Beat Alignment Score — 1× in this paper
Beats Coverage Score — 1× in this paper
Beats Hit Score — 1× in this paper
Computational overhead — 1× in this paper · explained in 2 episodes
Conformal Prediction — 1× in this paper · explained in 5 episodes
Dynamic Weighting — 1× in this paper · explained in 3 episodes
Feed-Forward Network — 1× in this paper
Generalization — 1× in this paper · explained in 13 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Pretrained Transformer — 1× in this paper
International Conference on Computer Vision — 1× in this paper
Latent Diffusion Model (LDM) — 1× in this paper · explained in 2 episodes
Mean Squared Error — 1× in this paper
Optimal Transport — 1× in this paper · explained in 5 episodes
Physical Body Contact — 1× in this paper
Physical Foot Contact — 1× in this paper
Reconstruction Error — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Semantic Alignment — 1× in this paper · explained in 3 episodes
Temporal consistency — 1× in this paper · explained in 2 episodes
U-net architecture — 1× in this paper · explained in 3 episodes
Variational Bayes — 1× in this paper · explained in 2 episodes

BeatDance: Generating Beat-Consistent 3D Dance with Hierarchical Spatial-Temporal Modeling

Terminology

Sources

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