ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions
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Abstract (arXiv)
Current approaches for 3D human motion synthesis generate high quality animations of digital humans performing a wide variety of actions and gestures. However, a notable technological gap exists in addressing the complex dynamics of multi human interactions within this paradigm. In this work, we present ReMoS, a denoising diffusion based model that synthesizes full body reactive motion of a person in a two person interaction scenario. Given the motion of one person, we employ a combined spatio temporal cross attention mechanism to synthesize the reactive body and hand motion of the second person, thereby completing the interactions between the two. We demonstrate ReMoS across challenging two person scenarios such as pair dancing, Ninjutsu, kickboxing, and acrobatics, where one persons movements have complex and diverse influences on the other. We also contribute the ReMoCap dataset for two person interactions containing full body and finger motions. We evaluate ReMoS through multiple quantitative metrics, qualitative visualizations, and a user study, and also indicate usability in interactive motion editing applications.
Key facts. Cited by 62 papers in the map (data through 14 Oct 2026). Builds on 51 of its 87 references that are in the map. First posted on arXiv 28 Nov 2023.
Builds on
51 of 87 references.
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50 most cited of 51 All 51 (JSON)
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Citing papers per year: 2024: 10; 2025: 30; 2026: 22.
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- 2025Unified Multi-Modal Interactive & Reactive 3D Motion Generation via Rectified Flowcited by 6
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- 2024SMGDiff: Soccer Motion Generation using diffusion probabilistic modelscited by 3
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- 2026DyaDiT: A Multi-Modal Diffusion Transformer for Socially Favorable Dyadic Gesture Generation26 Feb 2026
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- 2025Interact2Ar: Full-Body Human-Human Interaction Generation via Autoregressive Diffusion Models22 Dec 2025
- 2025Unified Multi-Modal Interactive & Reactive 3D Motion Generation via Rectified Flow28 Sep 2025
- 2025E-React: Towards Emotionally Controlled Synthesis of Human Reactions8 Aug 2025
- 2025Multi-Person Interaction Generation from Two-Person Motion Priors23 May 2025
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- 2025Ready-to-React: Online Reaction Policy for Two-Character Interaction Generationcited by 28
- 2025SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Predictioncited by 27
- 2024Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesiscited by 26
- 2025A Survey on Human Interaction Motion Generationcited by 25
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- 2026MOCHI: Motion Enhancement of Collaborative Human-object Interactions16 Jun 2026
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- 2026Towards Continuous Sign Language Conversation from Isolated Signs14 May 2026
- 2026SocialMirror: Reconstructing 3D Human Interaction Behaviors from Monocular Videos with Semantic and Geometric Guidance15 Apr 2026
- 2026PolySLGen: Online Multimodal Speaking-Listening Reaction Generation in Polyadic Interaction9 Apr 2026
- 2026ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data1 Apr 2026
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