通过隐空间编辑，实现对汽车3D模型的精准风格与几何修改。
Manipulating Vehicle 3D Shapes through Latent Space Editing
- 利用预训练回归器在隐空间中连续调节车辆属性。
- 支持多属性同时编辑且保持模型结构完整与身份一致。
- 适合需要精细定制3D汽车模型的设计师与开发者。
尽管3D对象编辑具有显著影响多个行业的潜力，但近期关于3D生成与编辑的研究主要集中在将文本和图像转换为3D模型，常常忽视了对现有3D对象进行细粒度编辑的需求。本文提出一种框架，采用预训练回归器，实现对车辆3D模型在风格和几何属性上的连续、精确、属性特定的修改。该方法不仅保留了车辆3D对象的固有身份，还支持多属性编辑，可在不破坏模型结构完整性的情况下实现广泛定制。实验结果表明，该方法在多种车辆3D模型上均能实现细致的编辑效果。
原文摘要 · Abstract (English)
Although 3D object editing has the potential to significantly influence various industries, recent research in 3D generation and editing has primarily focused on converting text and images into 3D models, often overlooking the need for fine-grained control over the editing of existing 3D objects. This paper introduces a framework that employs a pre-trained regressor, enabling continuous, precise, attribute-specific modifications to both the stylistic and geometric attributes of vehicle 3D models. Our method not only preserves the inherent identity of vehicle 3D objects, but also supports multi-attribute editing, allowing for extensive customization without compromising the model's structural integrity. Experimental results demonstrate the efficacy of our approach in achieving detailed edits on various vehicle 3D models.
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