25 citations · 62 across the 13 of their papers we have counts for
13 papers
Physics-Based Simulation of Contact-Induced Facial Wrinkling
Juan Sebastian Montes Maestre, Ladislav Kavan, Edmond Boyer +3
Facial skin dynamics are inherently challenging to simulate due to a combination of geometric, material, and anatomical complexities. Human skin is a nonlinear layered material wit…
Momentum-Conserving Graph Neural Networks for Deformable Objects
Jiahong Wang, Logan Numerow, Stelian Coros +3
Graph neural networks (GNNs) have emerged as a versatile and efficient option for modeling the dynamic behavior of deformable materials. While GNNs generalize readily to arbitrary…
Self-supervised Learning of Latent Space Dynamics
Yue Li, Gene Wei-Chin Lin, Egor Larionov +7
Modeling the dynamic behavior of deformable objects is crucial for creating realistic digital worlds. While conventional simulations produce high-quality motions, their computation…
Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video
Boxiang Rong, Artur Grigorev, Wenbo Wang +4
We introduce Gaussian Garments, a novel approach for reconstructing realistic simulation-ready garment assets from multi-view videos. Our method represents garments with a combinat…
ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations
Artur Grigorev, Giorgio Becherini, Michael J. Black +2
Learning-based approaches to cloth simulation have started to show their potential in recent years. However, handling collisions and intersections in neural simulations remains a l…
Modal Folding: Discovering Smooth Folding Patterns for Sheet Materials using Strain-Space Modes
Pengbin Tang, Ronan Hinchet, Roi Poranne +2
Folding can transform mundane objects such as napkins into stunning works of art. However, finding new folding transformations for sheet materials is a challenging problem that req…
Differentiable Voronoi Diagrams for Simulation of Cell-Based Mechanical Systems
Logan Numerow, Yue Li, Stelian Coros +1
Navigating topological transitions in cellular mechanical systems is a significant challenge for existing simulation methods. While abstract models lack predictive capabilities at…
Differentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes
Yue Li, Logan Numerow, Bernhard Thomaszewski +1
Computing intrinsic distances on discrete surfaces is at the heart of many minimization problems in geometry processing and beyond. Solving these problems is extremely challenging…
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
Jiahong Wang, Yinwei Du, Stelian Coros +1
We propose a self-supervised approach for learning physics-based subspaces for real-time simulation. Existing learning-based methods construct subspaces by approximating pre-define…
Neural Metamaterial Networks for Nonlinear Material Design
Yue Li, Stelian Coros, Bernhard Thomaszewski
Nonlinear metamaterials with tailored mechanical properties have applications in engineering, medicine, robotics, and beyond. While modeling their macromechanical behavior is chall…
No Free Slide: Spurious Contact Forces in Incremental Potential Contact
Yinwei Du, Yue Li, Stelian Coros +1
Modeling contact between deformable solids is a fundamental problem in computer animation, mechanical design, and robotics. Existing methods based on -discretizations -- piece…
Differentiable Stripe Patterns for Inverse Design of Structured Surfaces
Juan Montes Maestre, Yinwei Du, Ronan Hinchet +2
Stripe patterns are ubiquitous in nature and everyday life. While the synthesis of these patterns has been thoroughly studied in the literature, their potential to control the mech…
Computational Design of Active Kinesthetic Garments
Velko Vechev, Ronan Hinchet, Stelian Coros +2
Garments with the ability to provide kinesthetic force-feedback on-demand can augment human capabilities in a non-obtrusive way, enabling numerous applications in VR haptics, motio…