Compositional 3D Human-Object Neural Animation
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Abstract (arXiv)
Human-object interactions (HOIs) are crucial for human-centric scene understanding applications such as human-centric visual generation, AR/VR, and robotics. Since existing methods mainly explore capturing HOIs, rendering HOI remains less investigated. In this paper, we address this challenge in HOI animation from a compositional perspective, i.e., animating novel HOIs including novel interaction, novel human and/or novel object driven by a novel pose sequence. Specifically, we adopt neural human-object deformation to model and render HOI dynamics based on implicit neural representations. To enable the interaction pose transferring among different persons and objects, we then devise a new compositional conditional neural radiance field (or CC-NeRF), which decomposes the interdependence between human and object using latent codes to enable compositionally animation control of novel HOIs. Experiments show that the proposed method can generalize well to various novel HOI animation settings. Our project page is https://zhihou7.github.io/CHONA/
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 55 of its 73 references that are in the map. First posted on arXiv 27 Apr 2023.
Builds on
55 of 73 references.
References · 55
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38 more
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50 most cited of 55 All 55 (JSON)
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Citing papers per year: 2023: 2; 2024: 4; 2025: 2; 2026: 1.
9 papers.
- 2023InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusioncited by 182
- 2023PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interactioncited by 76
- 2025InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactionscited by 72
- 2024InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interactioncited by 64
- 2025InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generationcited by 32
- 2024Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editingcited by 18
- 2024COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Modelscited by 3
- 20243DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applicationscited by 1
- 2026SynAgent: Generalizable Cooperative Humanoid Manipulation via Solo-to-Cooperative Agent Synergycited by 0
- 2026SynAgent: Generalizable Cooperative Humanoid Manipulation via Solo-to-Cooperative Agent Synergy20 Apr 2026
- 2025InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation11 Sep 2025
- 2025InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions27 Feb 2025
- 2024Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing24 Oct 2024
- 20243DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications14 Oct 2024
- 2024COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models30 Sep 2024
- 2024InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction28 Mar 2024
- 2023PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction7 Dec 2023
- 2023InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion31 Aug 2023