Zeshun Zong
Papers
2
Total Citations
7
H-Index
2
About
Zeshun Zong is a rising researcher at the forefront of computational physics and graphics, whose work bridges the gap between simulation fidelity and real-world applicability. His primary research areas include physically based simulation, contact mechanics, and generative 3D modeling, with a strong emphasis on ensuring that digital models are not only visually compelling but also physically viable. Zong’s most impactful contribution is a novel convex formulation for frictional contact that seamlessly integrates the Material Point Method (MPM) with articulated rigid body dynamics. This work, published in 2024 and already garnering 5 citations, extends linear corotational hyperelastic models into elastoplasticity, enabling robust and efficient simulations of complex interactions between deformable materials and rigid bodies—a critical advance for engineering and animation. In his equally innovative work on Atlas3D, Zong addresses a fundamental limitation in text-to-3D generation: the neglect of physical constraints. By introducing self-supporting structures into the diffusion-based generation pipeline, he ensures that created models can maintain balance in physics simulations and are suitable for fabrication. This pioneering approach, with 2 citations, demonstrates his commitment to making generative AI practically useful for downstream tasks in robotics, manufacturing, and virtual environments. Zong’s work is shaping a future where simulated and generated worlds are as physically grounded as they are visually stunning.
Research Focus
Key Achievements
Top Papers
- 1
- 2