activity
20232026
most citedGIPC: Fast and stable Gauss-Newton optimization of IPC barrier energy

23 citations · 24 across the 9 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.GR2026

DiffGIPC: Differentiable Mixed-Coordinate Contact Dynamics on GPU

Kemeng Huang, Bowen Ren, Xinyu Lu +2

Contact-rich inverse problems require efficient gradients and reliable enforcement of non-penetration. Existing differentiable methods provide fast simulation and rigid-deformable…

cs.RO2026

PhyVisGen: Physically and Visually High-Fidelity Robotic Manipulation Data Generation

Yu Zheng, Qiyu Feng, Yixin Wu +6

Large-scale manipulation demonstrations are essential for learning robust visuomotor policies, yet real-world data collection is expensive and difficult to scale. Simulation offers…

cs.GR2026

YASPS: A Symbolic Framework for Extensible, High-Performance IPC Simulation

Xuan Tang, Kemeng Huang, Gilbert Bernstein +2

Incremental Potential Contact (IPC) enables robust, contact-rich simulation by casting elasticity and contact as a single energy minimization problem, but high-performance IPC pipe…

cs.GR2026

AGIPC: Adaptive In-Solve Algebraic Coarsening for GPU IPC

Xuan Wang, Zhaofeng Luo, Minchen Li +2

Implicit time integration is key to robustly simulating stiff materials and large deformations, but its performance is often dominated by repeatedly solving large linear systems. A…

cs.GR2026

An Efficient Multilevel Preconditioned Nonlinear Conjugate Gradient Method for Incremental Potential Contact

Yu Zhang, Xing Shen, Kemeng Huang +5

Incremental Potential Contact (IPC) guarantees intersection-free simulation but suffers from high computational costs due to the expensive Hessian assembly and linear solves requir…