mlsanityData to 14 Oct 2026

Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns

arXiv 2410.20389 ↗First posted 27 Oct 2024cs.CV cs.AI cs.GRcited by 21

Not on the map. Why?

Abstract (arXiv)

We propose Lodge++, a choreography framework to generate high-quality, ultra-long, and vivid dances given the music and desired genre. To handle the challenges in computational efficiency, the learning of complex and vivid global choreography patterns, and the physical quality of local dance movements, Lodge++ adopts a two-stage strategy to produce dances from coarse to fine. In the first stage, a global choreography network is designed to generate coarse-grained dance primitives that capture complex global choreography patterns. In the second stage, guided by these dance primitives, a primitive-based dance diffusion model is proposed to further generate high-quality, long-sequence dances in parallel, faithfully adhering to the complex choreography patterns. Additionally, to improve the physical plausibility, Lodge++ employs a penetration guidance module to resolve character self-penetration, a foot refinement module to optimize foot-ground contact, and a multi-genre discriminator to maintain genre consistency throughout the dance. Lodge++ is validated by extensive experiments, which show that our method can rapidly generate ultra-long dances suitable for various dance genres, ensuring well-organized global choreography patterns and high-quality local motion.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 62 of its 105 references that are in the map. First posted on arXiv 27 Oct 2024.

Builds on

62 of 105 references.

References · 62

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  4. 2020Denoising Diffusion Implicit Modelscited by 9,781
  5. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  6. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  7. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  8. 2017Neural Discrete Representation Learningcited by 4,712
  9. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  10. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,612
  11. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,430
  12. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,236
38 more
  1. 2018On the Continuity of Rotation Representations in Neural Networkscited by 1,214
  2. 2022Human Motion Diffusion Modelcited by 1,080
  3. 2022Diffusion Models in Vision: A Surveycited by 1,015
  4. 2022MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Modelcited by 780
  5. 2023T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representationscited by 588
  6. 2023MotionGPT: Human Motion as a Foreign Languagecited by 527
  7. 2021Action-Conditioned 3D Human Motion Synthesis with Transformer VAEcited by 501
  8. 2022TEMOS: Generating diverse human motions from textual descriptionscited by 492
  9. 2021AI Choreographer: Music Conditioned 3D Dance Generation with AIST++cited by 485
  10. 2023ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shiftingcited by 365
  11. 2022TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Textscited by 359
  12. 2023Human Motion Diffusion as a Generative Priorcited by 357
  13. 2022EDGE: Editable Dance Generation From Musiccited by 287
  14. 2022Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memorycited by 212
  15. 2023TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesiscited by 198
  16. 2022Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Modelscited by 174
  17. 2023GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latentscited by 158
  18. 2020We are More than Our Joints: Predicting how 3D Bodies Movecited by 115
  19. 2021DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformercited by 111
  20. 2023Synthesizing Physical Character-Scene Interactionscited by 104
  21. 2023HumanTOMATO: Text-aligned Whole-body Motion Generationcited by 104
  22. 2021Learning Motion Priors for 4D Human Body Capture in 3D Scenescited by 98
  23. 2023Optimizing Diffusion Noise Can Serve As Universal Motion Priorscited by 98
  24. 2023Unified Human-Scene Interaction via Prompted Chain-of-Contactscited by 94
  25. 2022FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generationcited by 88
  26. 2020Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learningcited by 81
  27. 2023TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integrationcited by 76
  28. 2023CityDreamer: Compositional Generative Model of Unbounded 3D Citiescited by 76
  29. 2023Residual Denoising Diffusion Modelscited by 69
  30. 2023SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applicationscited by 66
  31. 2024Large Motion Model for Unified Multi-Modal Motion Generationcited by 65
  32. 2020Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesiscited by 64
  33. 2021Playing for 3D Human Recoverycited by 64
  34. 2024Efficient Diffusion Model for Image Restoration by Residual Shiftingcited by 64
  35. 2024Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitivescited by 61
  36. 2024Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformercited by 61
  37. 2021The Wanderings of Odysseus in 3D Scenescited by 59
  38. 2022COAP: Compositional Articulated Occupancy of Peoplecited by 59

50 most cited of 62 All 62 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 13; 2026: 7.

21 papers.

Sort:

By area:

  1. 2025HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animationcited by 59
  2. 2025Motion Anything: Any to Motion Generationcited by 42
  3. 2025MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animationcited by 14
  4. 2025FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformerscited by 13
  5. 2025FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generationcited by 11
  6. 2025VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisionscited by 9
  7. 2025MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generationcited by 9
  8. 2024A Plug-and-Play Physical Motion Restoration Approach for In-the-Wild High-Difficulty Motionscited by 5
  9. 2025Separate to Collaborate: Dual-Stream Diffusion Model for Coordinated Piano Hand Motion Synthesiscited by 4
  10. 2025InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animationcited by 4
  11. 2025TCDiff++: An End-to-end Trajectory-Controllable Diffusion Model for Harmonious Music-Driven Group Choreographycited by 4
  12. 2025OmniMotion: Multimodal Motion Generation with Continuous Masked Autoregressioncited by 3
9 more
  1. 2025Tempo as the Stable Cue: Hierarchical Mixture of Tempo and Beat Experts for Music to 3D Dance Generationcited by 3
  2. 2026TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mambacited by 3
  3. 2026BiTDiff: Fine-Grained 3D Conducting Motion Generation via BiMamba-Transformer Diffusioncited by 2
  4. 2025MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generationcited by 1
  5. 2026InfiniteDance: Scalable 3D Dance Generation Towards in-the-wild Generalizationcited by 1
  6. 2026Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generationcited by 1
  7. 2026ST-GDance++: A Scalable Spatial-Temporal Diffusion for Long-Duration Group Choreographycited by 0
  8. 2026Odoriko: A Shape-Aware Multimodal Diffusion Framework for Human Motioncited by 0
  9. 2026BeatDance: Generating Beat-Consistent 3D Dance with Hierarchical Spatial-Temporal Modelingcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset
  2. 2023EnchantDance: Unveiling the Potential of Music-Driven Dance Movement
  3. 2025PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation
  4. 2025ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation
  5. 2025MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation
  6. 2026Not Like Transformers: Drop the Beat Representation for Dance Generation with Mamba-Based Diffusion Model
  7. 2023Controllable Group Choreography using Contrastive Diffusion
  8. 2023DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation