59 citations · 75 across the 20 of their papers we have counts for
24 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…
RigidFormer: Learning Rigid Dynamics using Transformers
Zhiyang Dou, Minghao Guo, Haixu Wu +3
Learning-based simulation of multi-object rigid-body dynamics remains difficult because contact is discontinuous and errors compound over long horizons. Most existing methods remai…
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…
HairWeaver: Few-Shot Photorealistic Hair Motion Synthesis with Sim-to-Real Guided Video Diffusion
Di Chang, Ji Hou, Aljaz Bozic +8
We present HairWeaver, a diffusion-based pipeline that animates a single human image with realistic and expressive hair dynamics. While existing methods successfully control body p…
Neural Modular Physics for Elastic Simulation
Yifei Li, Haixu Wu, Zeyi Xu +2
Learning-based methods have made significant progress in physics simulation, typically approximating dynamics with a monolithic end-to-end optimized neural network. Although these…
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…
Quaffure: Real-Time Quasi-Static Neural Hair Simulation
Tuur Stuyck, Gene Wei-Chin Lin, Egor Larionov +4
Realistic hair motion is crucial for high-quality avatars, but it is often limited by the computational resources available for real-time applications. To address this challenge, w…
3D Mesh Editing using Masked LRMs
Will Gao, Dilin Wang, Yuchen Fan +6
We present a novel approach to shape editing, building on recent progress in 3D reconstruction from multi-view images. We formulate shape editing as a conditional reconstruction pr…
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…
Garment3DGen: 3D Garment Stylization and Texture Generation
Nikolaos Sarafianos, Tuur Stuyck, Xiaoyu Xiang +3
We introduce Garment3DGen a new method to synthesize 3D garment assets from a base mesh given a single input image as guidance. Our proposed approach allows users to generate 3D te…
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…
DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
Yifei Li, Hsiao-yu Chen, Egor Larionov +3
The realism of digital avatars is crucial in enabling telepresence applications with self-expression and customization. While physical simulations can produce realistic motions for…
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…
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
Ziyan Wang, Giljoo Nam, Tuur Stuyck +6
The capture and animation of human hair are two of the major challenges in the creation of realistic avatars for the virtual reality. Both problems are highly challenging, because…
Garment Avatars: Realistic Cloth Driving using Pattern Registration
Oshri Halimi, Fabian Prada, Tuur Stuyck +7
Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes i…
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…
Virtual Elastic Objects
Hsiao-yu Chen, Edgar Tretschk, Tuur Stuyck +4
We present Virtual Elastic Objects (VEOs): virtual objects that not only look like their real-world counterparts but also behave like them, even when subject to novel interactions.…
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
Ziyan Wang, Giljoo Nam, Tuur Stuyck +4
Capturing and rendering life-like hair is particularly challenging due to its fine geometric structure, the complex physical interaction and its non-trivial visual appearance.Yet,…