Precise-Physics Driven Text-to-3D Generation

Understand

Text-to-3D generation has shown great promise in generating novel 3D content based on given text prompts.

• However, existing generative methods mostly focus on geometric or visual plausibility while ignoring precise physics perception for the generated 3D shapes.
• This greatly hinders the practicality of generated 3D shapes in real-world applications.
• In this work, we propose Phy3DGen, a precise-physics-driven text-to-3D generation method.