mlsanityData to 14 Oct 2026

Uni-Inter: Unifying 3D Human Motion Synthesis Across Diverse Interaction Contexts

arXiv 2511.13032 ↗First posted 17 Nov 2025cs.CVcited by 4

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Abstract (arXiv)

We present Uni-Inter, a unified framework for human motion generation that supports a wide range of interaction scenarios: including human-human, human-object, and human-scene-within a single, task-agnostic architecture. In contrast to existing methods that rely on task-specific designs and exhibit limited generalization, Uni-Inter introduces the Unified Interactive Volume (UIV), a volumetric representation that encodes heterogeneous interactive entities into a shared spatial field. This enables consistent relational reasoning and compound interaction modeling. Motion generation is formulated as joint-wise probabilistic prediction over the UIV, allowing the model to capture fine-grained spatial dependencies and produce coherent, context-aware behaviors. Experiments across three representative interaction tasks demonstrate that Uni-Inter achieves competitive performance and generalizes well to novel combinations of entities. These results suggest that unified modeling of compound interactions offers a promising direction for scalable motion synthesis in complex environments.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 46 of its 69 references that are in the map. First posted on arXiv 17 Nov 2025.

Builds on

46 of 69 references.

References · 46

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  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
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  11. 2023VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completioncited by 313
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34 more
  1. 2023Diffusion-based Generation, Optimization, and Planning in 3D Scenescited by 239
  2. 2023OmniControl: Control Any Joint at Any Time for Human Motion Generationcited by 238
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  5. 2021Stochastic Scene-Aware Motion Predictioncited by 203
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  7. 2023InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusioncited by 182
  8. 2022HUMANISE: Language-conditioned Human Motion Generation in 3D Scenescited by 158
  9. 2023CG-HOI: Contact-Guided 3D Human-Object Interaction Generationcited by 138
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  11. 2020Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenescited by 135
  12. 2022COUCH: Towards Controllable Human-Chair Interactionscited by 135
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  14. 2022IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactionscited by 124
  15. 2023Unified Human-Scene Interaction via Prompted Chain-of-Contactscited by 94
  16. 2022Towards Diverse and Natural Scene-aware 3D Human Motion Synthesiscited by 91
  17. 2023Symphonize 3D Semantic Scene Completion with Contextual Instance Queriescited by 90
  18. 2019Context-aware Human Motion Predictioncited by 84
  19. 2022Compositional Human-Scene Interaction Synthesis with Semantic Controlcited by 83
  20. 2024Generating Human Interaction Motions in Scenes with Text Controlcited by 80
  21. 2023CIRCLE: Capture In Rich Contextual Environmentscited by 79
  22. 2022Full-Body Articulated Human-Object Interactioncited by 78
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  26. 2023Synthesizing Physically Plausible Human Motions in 3D Scenescited by 49
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  28. 2023Generating Continual Human Motion in Diverse 3D Scenescited by 39
  29. 2024ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Modelcited by 26
  30. 2023Revisit Human-Scene Interaction via Space Occupancycited by 25
  31. 2025SemGeoMo: Dynamic Contextual Human Motion Generation with Semantic and Geometric Guidancecited by 16
  32. 2023Diffusion Co-Policy for Synergistic Human-Robot Collaborative Taskscited by 15
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026EchoAvatar: Real-time Generative Avatar Animation from Audio Streamscited by 2
  2. 2026ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Datacited by 1
  3. 2026MOCHI: Motion Enhancement of Collaborative Human-object Interactionscited by 1
  4. 2026From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligencecited by 1