mlsanityData to 14 Oct 2026

QuaterNet: A Quaternion-based Recurrent Model for Human Motion

arXiv 1805.06485 ↗First posted 16 May 2018cs.CVcited by 109

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Abstract (arXiv)

Deep learning for predicting or generating 3D human pose sequences is an active research area. Previous work regresses either joint rotations or joint positions. The former strategy is prone to error accumulation along the kinematic chain, as well as discontinuities when using Euler angle or exponential map parameterizations. The latter requires re-projection onto skeleton constraints to avoid bone stretching and invalid configurations. This work addresses both limitations. Our recurrent network, QuaterNet, represents rotations with quaternions and our loss function performs forward kinematics on a skeleton to penalize absolute position errors instead of angle errors. On short-term predictions, QuaterNet improves the state-of-the-art quantitatively. For long-term generation, our approach is qualitatively judged as realistic as recent neural strategies from the graphics literature.

Key facts. Cited by 109 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 May 2018.

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Citing papers per year: 2021: 22; 2022: 23; 2023: 29; 2024: 15; 2025: 11; 2026: 9.

109 papers.

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  1. 2023T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representationscited by 588
  2. 2021Action-Conditioned 3D Human Motion Synthesis with Transformer VAEcited by 501
  3. 2022TEMOS: Generating diverse human motions from textual descriptionscited by 492
  4. 2022PhysDiff: Physics-Guided Human Motion Diffusion Modelcited by 368
  5. 2022MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesiscited by 218
  6. 2021Synthesis of Compositional Animations from Textual Descriptionscited by 178
  7. 2021GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Camerascited by 153
  8. 2022COUCH: Towards Controllable Human-Chair Interactionscited by 135
  9. 2022IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactionscited by 124
  10. 2021Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoderscited by 109
  11. 2023Unified Human-Scene Interaction via Prompted Chain-of-Contactscited by 94
  12. 2022Towards Diverse and Natural Scene-aware 3D Human Motion Synthesiscited by 91
38 more
  1. 2022BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Predictioncited by 82
  2. 2022NeMF: Neural Motion Fields for Kinematic Animationcited by 68
  3. 2021Generating Smooth Pose Sequences for Diverse Human Motion Predictioncited by 66
  4. 2021Multi-Person 3D Motion Prediction with Multi-Range Transformerscited by 63
  5. 2021The Wanderings of Odysseus in 3D Scenescited by 59
  6. 2023Interactive Character Control with Auto-Regressive Motion Diffusion Modelscited by 55
  7. 2024ParCo: Part-Coordinating Text-to-Motion Synthesiscited by 55
  8. 2021Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structurecited by 53
  9. 2023HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recoverycited by 49
  10. 2023TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesiscited by 49
  11. 2023Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Modelscited by 43
  12. 2021Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Predictioncited by 37
  13. 2023PACE: Human and Camera Motion Estimation from in-the-wild Videoscited by 34
  14. 20223D Human Motion Prediction: A Surveycited by 30
  15. 2022MyStyle: A Personalized Generative Priorcited by 26
  16. 2022Weakly-supervised Action Transition Learning for Stochastic Human Motion Predictioncited by 26
  17. 2023Plan, Posture and Go: Towards Open-World Text-to-Motion Generationcited by 26
  18. 2022Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimationcited by 25
  19. 2022PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervisioncited by 25
  20. 2022GANimator: Neural Motion Synthesis from a Single Sequencecited by 23
  21. 2023ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptorscited by 23
  22. 2023HMP: Hand Motion Priors for Pose and Shape Estimation from Videocited by 23
  23. 2024Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptionscited by 23
  24. 2021Transflower: probabilistic autoregressive dance generation with multimodal attentioncited by 22
  25. 2023SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Datacited by 21
  26. 2021GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interactioncited by 18
  27. 2022Action-conditioned On-demand Motion Generationcited by 18
  28. 2021ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematicscited by 17
  29. 2023ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactionscited by 17
  30. 2023TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Predictioncited by 17
  31. 2023Realistic Human Motion Generation with Cross-Diffusion Modelscited by 17
  32. 2023Example-based Motion Synthesis via Generative Motion Matchingcited by 16
  33. 2023Joint-Relation Transformer for Multi-Person Motion Predictioncited by 16
  34. 2023Improving 3D Pose Estimation for Sign Languagecited by 16
  35. 2024COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimationcited by 15
  36. 2021TrajeVAE: Controllable Human Motion Generation from Trajectoriescited by 14
  37. 2021MUGL: Large Scale Multi Person Conditional Action Generation with Locomotioncited by 14
  38. 2022MotionAug: Augmentation with Physical Correction for Human Motion Predictioncited by 13

50 most cited of 109 All 109 (JSON)