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.

翻译：尽管三维物体编辑技术具有显著影响多个行业的潜力，但近期关于三维生成与编辑的研究主要集中于将文本和图像转换为三维模型，往往忽视了对现有三维物体进行细粒度编辑控制的需求。本文提出一种框架，该框架利用预训练的回归器，实现对车辆三维模型的风格属性与几何属性进行连续、精确且属性特定的修改。我们的方法不仅能够保持车辆三维物体的固有特征，还支持多属性编辑，从而在确保模型结构完整性的前提下实现广泛的定制化。实验结果表明，我们的方法能够在多种车辆三维模型上实现精细的编辑效果。