3 citations · 4 across the 5 of their papers we have counts for
8 papers
Neuroll: Real-Time Neural Strand-Based Hair Simulation via Simulator-in-the-Loop Unrolling
Gene Wei-Chin Lin, Jessica Jia-En Lee, Yu Ju +3
Time integration has been the cornerstone of physics-based animation that enables the simulation of complex interactions between rigid and deformable objects, including the motion…
HyperBones: Realtime Bone-driven Neural Garment Simulation with Hypernetwork Conditioning
Astitva Srivastava, Hsiao-Yu Chen, Ryan Goldade +8
Recent advances in cloth simulation have led to accurate garment physics, but the methods are computationally expensive for real-time applications. In contrast, Linear Blend Skinni…
PhySkin: Physics-based Bone-driven Neural Garment Simulation
Astitva Srivastava, Hsiao-yu Chen, Ryan Goldade +7
Recent advances in digital avatar technology have enabled the generation of compelling virtual characters, but deploying these avatars on compute-constrained devices poses signific…
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…
Neuralocks: Real-Time Dynamic Neural Hair Simulation
Gene Wei-Chin Lin, Egor Larionov, Hsiao-yu Chen +2
Real-time hair simulation is a vital component in creating believable virtual avatars, as it provides a sense of immersion and authenticity. The dynamic behavior of hair, such as b…
SkinCells: Sparse Skinning using Voronoi Cells
Egor Larionov, Igor Santesteban, Hsiao-yu Chen +6
For decades, real-time skinning has been the cornerstone of character animation in visual effects and games. Despite its importance, the creation of animatable digital assets remai…
PGC: Physics-Based Gaussian Cloth from a Single Pose
Michelle Guo, Matt Jen-Yuan Chiang, Igor Santesteban +9
We introduce a novel approach to reconstruct simulation-ready garments with intricate appearance. Despite recent advancements, existing methods often struggle to balance the need f…
PhysGraph: Physics-Based Integration Using Graph Neural Networks
Oshri Halimi, Egor Larionov, Zohar Barzelay +2
Physics-based simulation of mesh based domains remains a challenging task. State-of-the-art techniques can produce realistic results but require expert knowledge. A major bottlenec…