# Recursive Code World Models（RCWM）：用递归场景程序从单张参考图重建复杂 3D 世界

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-09-10 08:00
- AIHOT 分数：38
- AIHOT 链接：https://aihot.news/items/cmtwdbmb00ccvrolk0ctu01xf
- 原文链接：https://arxiv.org/abs/2609.11499

## AI 摘要

研究者提出 Recursive Code World Models（RCWM），通过递归场景程序（RSP）表示与可递归调用的构建求解器，从单张参考图像重建复杂 3D 世界。

## 正文

Abstract:Code world models represent worlds as executable programs, but this representation alone does not determine how to construct a complex world. We introduce Recursive Code World Models (RCWM), a framework for reconstructing complex 3D worlds in code from a single reference image. RCWM couples a Recursive Scene Program (RSP) representation with a construction solver that recursively calls itself. An RSP represents the executable world as compositional scene code, while each solver call follows the same complete process: establish the whole, recursively reconstruct unresolved parts, and revisit the whole to refine their composition. This global-local-global recursion gives fine-scale structures their own perception-and-editing loops while preserving scene-wide geometry and relationships. Reference-aligned views propagate a shared camera projection across levels, while parent revisitation addresses boundaries, spatial relations, and shared errors that emerge after local refinement. A vision-language coding agent directly compares reference images with scene renders to guide refinement, recursive descent, and return. Across complex scenes, RCWM outperforms prior code-based image-to-scene reconstruction methods. Ablation studies further support the benefits of recursive construction and suggest that deeper calls can improve finer-scale reconstruction. RCWM provides a recursive construction principle for building complex executable worlds from visual evidence.

Comments:

Subjects: Computer Vision and Pattern Recognition (cs.CV)

Cite as: arXiv:2609.11499 [cs.CV]

(or arXiv:2609.11499v1 [cs.CV] for this version)

https://doi.org/10.48550/arXiv.2609.11499

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Zhiqi Li [

Thu, 10 Sep 2026 13:05:06 UTC (39,145 KB)

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