Physically Compatible 3D Object Modeling from a Single Image
–Neural Information Processing Systems
We present a computational framework that transforms single images into 3D physical objects. The visual geometry of a physical object in an image is determined by three orthogonal attributes: mechanical properties, external forces, and rest-shape geometry. Existing single-view 3D reconstruction methods often overlook this underlying composition, presuming rigidity or neglecting external forces. Consequently, the reconstructed objects fail to withstand real-world physical forces, resulting in instability or undesirable deformation - diverging from their intended designs as depicted in the image.
Neural Information Processing Systems
May-25-2025, 18:53:44 GMT
- Genre:
- Research Report > Experimental Study (0.93)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Representation & Reasoning > Optimization (1.00)
- Vision (1.00)
- Information Technology > Artificial Intelligence