# StateFlow：面向预可视化的 3D 世界状态构建、演化与访问框架

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-08-12 08:00
- AIHOT 分数：55
- AIHOT 链接：https://aihot.virxact.com/items/cmsqxn6d6094croz21cm1s6eo
- 原文链接：https://arxiv.org/abs/2608.12314

## AI 摘要

StateFlow 提出以可编辑 3D 世界为核心的状态中心框架，用于电影、游戏等领域的生成式预可视化。该框架通过状态构建、演化与访问三阶段，将 2D 内容提升为连贯 3D 世界，并支持局部编辑与相机轨迹优化，避免逐帧全场景重生成。实验显示其能生成高质量 3D 世界，适用于视频创作与类游戏原型设计。

## 正文

Previsualization is an intermediate layer between ideas and production in film, games, architecture, and urban design. It lets creators iteratively refine scenes, actions, cameras, and spatial-temporal dynamics. Yet existing generative methods rely on simple prompts to jointly control all of these factors through one-shot image or video synthesis, offering weak controllability and limited support for iterative editing. Fundamentally, a world comprises multiple elements with geometry, appearance, and other attributes, together with cameras. Different frames are produced through local modifications or recombinations of this shared state, which is otherwise largely reused. Therefore, we argue that the missing component is an explicit and persistent working state. To address this, we present StateFlow, a state-centric framework for generative previsualization. Rather than generating videos in one shot, StateFlow uses an editable 3D world to organize scene structure, evolution, and cameras, while off-the-shelf video models enhance visual quality when higher fidelity is desired. This world is maintained as a persistent structured 3D state of scene elements and camera configurations, serving as the core working representation for previsualization. Built on this insight, StateFlow has three stages to construct, evolve, and access the world state. State construction lifts generated 2D content into a coherent 3D world through prior-guided, conflict-aware dual-view initialization, while State evolution translates user intent into structured state transitions while preserving world memory, avoiding full-scene regeneration for each edit. State access uses render-feedback reflection to refine camera plans into visually feasible trajectories, avoiding reliance on VLM semantics alone. Experiments show that StateFlow produces high-quality 3D worlds for video creation and game-like prototyping.