59 citations · 75 across the 20 of their papers we have counts for
13 papers · 1 filter
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…
Dress Anyone : Automatic Physically-Based Garment Pattern Refitting
Hsiao-yu Chen, Egor Larionov, Ladislav Kavan +4
Well-fitted clothing is essential for both real and virtual garments to enable self-expression and accurate representation for a large variety of body types. Common practice in the…
Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models
Joy Xiaoji Zhang, Gene Wei-Chin Lin, Lukas Bode +3
Virtual garment simulation has become increasingly important with applications in garment design and virtual try-on. However, reproducing garments faithfully remains a cumbersome p…
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…
DiffXPBD : Differentiable Position-Based Simulation of Compliant Constraint Dynamics
Tuur Stuyck, Hsiao-yu Chen
We present DiffXPBD, a novel and efficient analytical formulation for the differentiable position-based simulation of compliant constrained dynamics (XPBD). Our proposed method all…
Unphased Wrinkles: Estimating cloth elasticity parameters using a frequency-based loss
Egor Larionov, Marie-Lena Eckert, Katja Wolff +1
Generating realistic clothing for virtual applications like online retail and digital avatars is crucial but requires expert knowledge of 3D tools to generating believable simulati…
Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing
Donglai Xiang, Timur Bagautdinov, Tuur Stuyck +10
Despite recent progress in developing animatable full-body avatars, realistic modeling of clothing - one of the core aspects of human self-expression - remains an open challenge. S…