Paper ID: 2410.23931 • Published Oct 31, 2024
Manipulating Vehicle 3D Shapes through Latent Space Editing
JiangDong Miao, Tatsuya Ikeda, Bisser Raytchev, Ryota Mizoguchi, Takenori Hiraoka, Takuji Nakashima, Keigo Shimizu, Toru...
TL;DR
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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.