117 citations · 332 across the 27 of their papers we have counts for
6 papers · 1 filter
TPA-Net: Generate A Dataset for Text to Physics-based Animation
Yuxing Qiu, Feng Gao, Minchen Li +3
Recent breakthroughs in Vision-Language (V&L) joint research have achieved remarkable results in various text-driven tasks. High-quality Text-to-video (T2V), a task that has been l…
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Yadi Cao, Menglei Chai, Minchen Li +1
Learning the physical simulation on large-scale meshes with flat Graph Neural Networks (GNNs) and stacking Message Passings (MPs) is challenging due to the scaling complexity w.r.t…
Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact
Yunuo Chen, Minchen Li, Wenlong Lu +2
We introduce Midas, a robotics simulation framework based on the Incremental Potential Contact (IPC) model. Our simulator guarantees intersection-free, stable, and accurate resolut…
Topology Optimization with Frictional Self-Contact
Zeshun Zong, Xuan Li, Jianping Ye +5
Contact-aware topology optimization faces challenges in robustness, accuracy, and applicability to internal structural surfaces under self-contact. This work builds on the recently…
Complex Locomotion Skill Learning via Differentiable Physics
Yu Fang, Jiancheng Liu, Mingrui Zhang +6
Differentiable physics enables efficient gradient-based optimizations of neural network (NN) controllers. However, existing work typically only delivers NN controllers with limited…
Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of Stiff Materials
Lei Lan, Danny M. Kaufman, Minchen Li +2
Simulating stiff materials in applications where deformations are either not significant or can safely be ignored is a pivotal task across fields. Rigid body modeling has thus long…