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PhysX: Physical-Grounded 3D Asset Generation

Ziang Cao, Zhaoxi Chen, Linag Pan, Ziwei Liu

2025-07-17

PhysX: Physical-Grounded 3D Asset Generation

Summary

This paper talks about PhysX, a new system for generating 3D objects that not only look real but also have physical properties like size, material, and how they move or function.

What's the problem?

The problem is that most existing 3D models focus only on how objects look, ignoring important physical aspects like weight, movement, and how they interact with the environment, which limits their usefulness in real-world simulations and robotics.

What's the solution?

The authors created PhysXNet, the first large 3D dataset annotated with physical details, and PhysXGen, a model that combines this physical knowledge with geometric shapes to generate realistic 3D objects that behave as they would in the real world. This is done using a dual-part system that links physical properties with object structure.

Why it matters?

This matters because it helps create more realistic virtual objects that can be used for better simulations, gaming, and robotic tasks, making AI-generated 3D models more useful and believable in practical applications.

Abstract

PhysX addresses the gap in physical-grounded 3D asset generation by introducing PhysXNet, a physics-annotated dataset, and PhysXGen, a feed-forward framework that integrates physical knowledge into 3D generation.