CRAFT: Designing Creative and Functional 3D Objects
This addresses the challenge of designing functional 3D objects that align with human body geometry and semantics for users in digital and physical fabrication domains, representing a novel method for a known bottleneck.
The paper tackles the problem of synthesizing body-aware 3D objects from a base mesh using input body geometry and text or image guidance, achieving effective generation of both virtual and real-world objects without manual intervention.
For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these two objectives present significant challenges to the current AI-based designing tools. In this work, we present a method to synthesize body-aware 3D objects from a base mesh given an input body geometry and either text or image as guidance. The generated objects can be simulated on virtual characters, or fabricated for real-world use. We propose to use a mesh deformation procedure that optimizes for both semantic alignment as well as contact and penetration losses. Using our method, users can generate both virtual or real-world objects from text, image, or sketch, without the need for manual artist intervention. We present both qualitative and quantitative results on various object categories, demonstrating the effectiveness of our approach.