This topic covers the emerging set of tools and pipelines used to generate 3D assets and 4D (time-based) content for games, social worlds, and metaverse platforms. By 2026 the field has moved beyond single-purpose image generators toward integrated systems that produce scene-ready models, consistent animated characters, and conditioned video sequences that can be ingested by game engines or live platforms (for example, in-engine generators such as Roblox Cube AI). Key categories: 3D model generation tools (template-driven, scene-aware platforms like Genesis 3D AI that lower the technical barrier), generative video tools (Runway’s node-based apps and ShowHive’s character-fidelity pipelines), and game AI engines/cloud ML services (Vertex AI and Google Gemini for model hosting, fine-tuning, and multimodal inference). Open and research-driven options such as HunyuanCustom and OmniHuman offer conditional video pipelines and single-image-to-motion human animation workflows useful for custom avatar and cinematic generation. Relevance and trends: creators want assets that are consistent across scenes, editable in authoring flows, and scalable via APIs. Practical workflows now combine web-based, template-assisted generation for rapid iteration with developer-facing APIs and node-based pipelines for deterministic post-processing and integration into game engines. Cloud platforms provide the compute, model management, and multimodal primitives needed to fine-tune avatars and preserve subject identity across uses. The current landscape favors modular stacks—generative model + orchestration/workflow layer + engine integration—enabling studios and indie creators to prototype interactive, identity-preserving 3D/4D content without deep specialization in graphics or ML.