无需训练即可在生成3D模型时精确控制形状空间布局。
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
- 通过几何输入直接控制3D生成，不依赖文本或图像提示。
- 在保持视觉质量的同时，几何保真度优于现有方法。
- 支持实时编辑与交互式创作，适合设计师和开发者使用。
3D资产生成方法近年来取得显著进展，但对物体几何结构的直观精确控制仍是关键挑战。现有方法主要依赖文本或图像提示，常因语言模糊或图像难修改而难以实现几何精准控制。本文提出SpaceControl，一种无需训练的测试时空间控制方法，可接受从粗略几何体到详细网格的多种几何输入，并无缝集成至现代生成模型中，无需额外训练。通过一个控制参数，用户可在几何保真度与输出真实感之间自由权衡。大量定量评估与用户研究显示，SpaceControl在几何忠实度上优于基于训练和优化的基线方法，同时保持高视觉质量。最后，我们展示了一个交互式界面，支持实时超定形体编辑与直接3D资产生成，便于融入创意工作流。项目页面：https://spacecontrol3d.github.io/。
原文摘要 · Abstract (English)
Generative methods for 3D assets have recently achieved remarkable progress, yet providing intuitive and precise control over the object geometry remains a key challenge. Existing approaches predominantly rely on text or image prompts, which often fall short in geometric specificity: language can be ambiguous, and images are difficult to manipulate. In this work, we introduce SpaceControl, a training-free test-time method for explicit spatial control of 3D asset generation. Our approach accepts a wide range of geometric inputs, from coarse primitives to detailed meshes, and integrates seamlessly with modern generative models without requiring any additional training. A control parameter lets users trade off between geometric fidelity and output realism. Extensive quantitative evaluation and user studies demonstrate that SpaceControl outperforms both training-based and optimization-based baselines in geometric faithfulness while preserving high visual quality. Finally, we present an interactive interface for real-time superquadric editing and direct 3D asset generation, enabling seamless use in creative workflows. Project page: https://spacecontrol3d.github.io/.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。