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Human Motion Modeling using DVGANs

arXiv 1804.10652 ↗First posted 27 Apr 2018cs.CVcited by 45

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Abstract (arXiv)

We present a novel generative model for human motion modeling using Generative Adversarial Networks (GANs). We formulate the GAN discriminator using dense validation at each time-scale and perturb the discriminator input to make it translation invariant. Our model is capable of motion generation and completion. We show through our evaluations the resiliency to noise, generalization over actions, and generation of long diverse sequences. We evaluate our approach on Human 3.6M and CMU motion capture datasets using inception scores.

Key facts. Cited by 45 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Apr 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 11; 2023: 10; 2024: 11; 2025: 7; 2026: 2.

45 papers.

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  1. 2022Executing your Commands via Motion Diffusion in Latent Spacecited by 567
  2. 2021Action-Conditioned 3D Human Motion Synthesis with Transformer VAEcited by 497
  3. 2022TEMOS: Generating diverse human motions from textual descriptionscited by 486
  4. 2024MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Modelcited by 164
  5. 2022HUMANISE: Language-conditioned Human Motion Generation in 3D Scenescited by 156
  6. 2024Motion Mamba: Efficient and Long Sequence Motion Generationcited by 111
  7. 2022PoseGPT: Quantization-based 3D Human Motion Generation and Forecastingcited by 78
  8. 2025Go to Zero: Towards Zero-shot Motion Generation with Million-scale Datacited by 67
  9. 2021Generating Smooth Pose Sequences for Diverse Human Motion Predictioncited by 66
  10. 2022AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatarscited by 55
  11. 2024ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Modelcited by 52
  12. 2023OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllerscited by 47
33 more
  1. 2022Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Trainingcited by 45
  2. 2023Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchorscited by 34
  3. 2022Weakly-supervised Action Transition Learning for Stochastic Human Motion Predictioncited by 26
  4. 2023Plan, Posture and Go: Towards Open-World Text-to-Motion Generationcited by 26
  5. 2023Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videoscited by 21
  6. 2023ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactionscited by 17
  7. 2024Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editingcited by 17
  8. 2022HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAEcited by 16
  9. 2024KMM: Key Frame Mask Mamba for Extended Motion Generationcited by 16
  10. 2021TrajeVAE: Controllable Human Motion Generation from Trajectoriescited by 14
  11. 2021MUGL: Large Scale Multi Person Conditional Action Generation with Locomotioncited by 14
  12. 2023HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Modelscited by 13
  13. 2025Dynamic Motion Blending for Versatile Motion Editingcited by 13
  14. 2024T2LM: Long-Term 3D Human Motion Generation from Multiple Sentencescited by 11
  15. 2024BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesiscited by 6
  16. 2025DIMO: Diverse 3D Motion Generation for Arbitrary Objectscited by 6
  17. 2025UniAct: Unified Motion Generation and Action Streaming for Humanoid Robotscited by 5
  18. 2022DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Networkcited by 4
  19. 2023Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognitioncited by 4
  20. 2023FG-MDM: Towards Zero-Shot Human Motion Generation via ChatGPT-Refined Descriptionscited by 4
  21. 2024GHOST: Grounded Human Motion Generation with Open Vocabulary Scene-and-Text Contextscited by 4
  22. 2026Omni-Supervised Motion Editing: Balancing Change and Invariance through Positive-Negative Learningcited by 4
  23. 2024Purposer: Putting Human Motion Generation in Contextcited by 3
  24. 2025Versatile Multimodal Controls for Expressive Talking Human Animationcited by 3
  25. 2023Diverse Motion In-betweening with Dual Posture Stitchingcited by 2
  26. 2025MimicParts: Part-aware Style Injection for Speech-Driven 3D Motion Generationcited by 2
  27. 2022Autoregressive GAN for Semantic Unconditional Head Motion Generationcited by 1
  28. 2024Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performancecited by 1
  29. 2024Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweeningcited by 1
  30. 2026Spatial Temporal Synergy: Balancing Change and Invariance in Text Driven 3D Human Motion Editingcited by 1
  31. 2022Unified Simulation, Perception, and Generation of Human Behaviorcited by 0
  32. 2023A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generationcited by 0
  33. 2025Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristiccited by 0