Three-dimensional content generation has progressed from producing isolated, visually plausible shapes to constructing structured assets that can be deployed in real-time interactive environments. This trajectory is driven by converging demands from game development, embodied AI, world simulation, digital twins, and spatial computing, all of which require 3D content that goes beyond surface appearance to satisfy engine-level constraints on topology, UV parameterization, physically based materials, skeletal rigging, and physics-aware scene layout. Despite rapid advances in generative modeling, a persistent gap separates the outputs of current methods from the production-ready standard expected by interactive applications. This survey addresses that gap by organizing the literature around the asset production pipeline rather than algorithmic families. Along the horizontal axis we distinguish three asset tiers, namely general objects, characters, and scenes, while the vertical axis traces each tier through the full production lifecycle from data foundations and geometry synthesis through topology optimization, UV unwrapping, PBR appearance, rigging, and scene assembly. Through this two-dimensional taxonomy we assess not only what current methods can generate but whether their outputs are directly usable in downstream engines and simulation platforms. We further consolidate evaluation metrics and protocols that span geometric fidelity, appearance quality, asset usability, and scene-level physical plausibility. The survey concludes by identifying open challenges in data quality, generation controllability, end-to-end assetization, and physically grounded generation, and by situating production-ready 3D content as foundational infrastructure for emerging interactive world models and embodied intelligent systems.

翻译：三维内容生成已从生成孤立、视觉可信的形状，发展至构建可在实时交互环境中部署的结构化资产。这一演进由游戏开发、具身人工智能、世界模拟、数字孪生与空间计算领域的汇聚需求驱动——所有应用场景均要求三维内容超越表面外观，满足引擎层级对拓扑结构、UV参数化、基于物理的材质、骨骼绑定及物理感知场景布局的约束。尽管生成式建模取得了快速进展，当前方法的输出结果与交互式应用所要求的"生产级"标准之间仍存在持续差距。本综述通过围绕资产生产管线而非算法族系组织文献，旨在弥合这一差距。在横向维度上，我们区分三类资产层级（通用对象、角色与场景），纵向维度则沿完整生产生命周期追溯每个层级，涵盖数据基础、几何合成、拓扑优化、UV展开、PBR外观、绑定与场景装配。通过此二维分类体系，我们不仅评估当前方法的生成能力，更判断其输出是否能在下游引擎与仿真平台中直接使用。我们进一步整合了涵盖几何保真度、外观质量、资产可用性与场景级物理合理性的评估指标与协议。本综述最终识别了数据质量、生成可控性、端到端资产化及物理基生成方面的开放挑战，并将"生产级"三维内容定位为新兴交互式世界模型与具身智能系统的基础设施。