Interaction-and-Competition-Driven 3D Generation: A Multi-Agent Framework for Emergent Volumetric Structure Synthesis
Abstract
Three-dimensional generative modeling has advanced through approaches such as 3D diffusion models, neural radiance fields (NeRF), 3D Gaussian Splatting (3DGS), and point-cloud generative models. However, many generative pipelines primarily emphasize direct shape prediction, iterative denoising, or the optimization of scene representations. This paper proposes Interaction-and-Competition-Driven 3D Generation (IC3DG), a conceptual framework that constructs three-dimensional objects through the interactions and competition of multiple particles, geometric units, or structural agents. Each agent maintains a spatial state, a resource budget, and a set of local interaction rules. During generation, agents compete for space and limited resources, attract or repel neighboring agents, merge compatible structures, replace less suitable candidates, and eliminate redundant or unstable elements. A global objective coordinates these local processes with target-conditioned geometric and perceptual requirements. The framework is formulated as a discrete-time multi-agent dynamical system and can be instantiated using point-based, volumetric, mesh-based, or Gaussian-based representations. We introduce an interaction field, a competition-aware allocation mechanism, a structural replacement operator, and a termination criterion based on global quality and stability. We further describe a training strategy, a reference algorithm, evaluation metrics, and a controlled experimental protocol. The proposed framework is intended to investigate whether competitive local interactions can provide a useful alternative or complement to conventional three-dimensional generation pipelines. Since no experimental results are claimed in this paper, the effectiveness, computational efficiency, and generalization ability of IC3DG remain open empirical questions.
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BibTeX
@misc{zhang2026interactionandcompetitiondriven,
title = {{Interaction-and-Competition-Driven 3D Generation: A Multi-Agent Framework for Emergent Volumetric Structure Synthesis}},
author = {Jincheng Zhang},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23636449},
url = {https://zenodo.org/records/23636449},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Interaction-and-Competition-Driven 3D Generation: A Multi-Agent Framework for Emergent Volumetric Structure Synthesis
AU - Jincheng Zhang
PY - 2026
DA - 2026/10/25
PB - Zenodo
DO - 10.5281/zenodo.23636449
UR - https://zenodo.org/records/23636449
AB - Three-dimensional generative modeling has advanced through approaches such as 3D diffusion models, neural radiance fields (NeRF), 3D Gaussian Splatting (3DGS), and point-cloud generative models. However, many generative pipelines primarily emphasize direct shape prediction, iterative denoising, or the optimization of scene representations. This paper proposes Interaction-and-Competition-Driven 3D Generation (IC3DG), a conceptual framework that constructs three-dimensional objects through the interactions and competition of multiple particles, geometric units, or structural agents. Each agent maintains a spatial state, a resource budget, and a set of local interaction rules. During generation, agents compete for space and limited resources, attract or repel neighboring agents, merge compatible structures, replace less suitable candidates, and eliminate redundant or unstable elements. A global objective coordinates these local processes with target-conditioned geometric and perceptual requirements. The framework is formulated as a discrete-time multi-agent dynamical system and can be instantiated using point-based, volumetric, mesh-based, or Gaussian-based representations. We introduce an interaction field, a competition-aware allocation mechanism, a structural replacement operator, and a termination criterion based on global quality and stability. We further describe a training strategy, a reference algorithm, evaluation metrics, and a controlled experimental protocol. The proposed framework is intended to investigate whether competitive local interactions can provide a useful alternative or complement to conventional three-dimensional generation pipelines. Since no experimental results are claimed in this paper, the effectiveness, computational efficiency, and generalization ability of IC3DG remain open empirical questions.
ER -