Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zong, Zeshun"'
We introduce PhysMotion, a novel framework that leverages principled physics-based simulations to guide intermediate 3D representations generated from a single image and input conditions (e.g., applied force and torque), producing high-quality, physi
Externí odkaz:
http://arxiv.org/abs/2411.17189
Autor:
Du, Wenxin, Yu, Chang, Ma, Siyu, Jiang, Ying, Zong, Zeshun, Yang, Yin, Masterjohn, Joe, Castro, Alejandro, Han, Xuchen, Jiang, Chenfanfu
Physics-based simulation is essential for developing and evaluating robot manipulation policies, particularly in scenarios involving deformable objects and complex contact interactions. However, existing simulators often struggle to balance computati
Externí odkaz:
http://arxiv.org/abs/2409.16385
Autor:
Bansal, Hritik, Lin, Zongyu, Xie, Tianyi, Zong, Zeshun, Yarom, Michal, Bitton, Yonatan, Jiang, Chenfanfu, Sun, Yizhou, Chang, Kai-Wei, Grover, Aditya
Recent advances in internet-scale video data pretraining have led to the development of text-to-video generative models that can create high-quality videos across a broad range of visual concepts, synthesize realistic motions and render complex objec
Externí odkaz:
http://arxiv.org/abs/2406.03520
Autor:
Chen, Yunuo, Xie, Tianyi, Zong, Zeshun, Li, Xuan, Gao, Feng, Yang, Yin, Wu, Ying Nian, Jiang, Chenfanfu
Existing diffusion-based text-to-3D generation methods primarily focus on producing visually realistic shapes and appearances, often neglecting the physical constraints necessary for downstream tasks. Generated models frequently fail to maintain bala
Externí odkaz:
http://arxiv.org/abs/2405.18515
In this paper, we introduce a novel convex formulation that seamlessly integrates the Material Point Method (MPM) with articulated rigid body dynamics in frictional contact scenarios. We extend the linear corotational hyperelastic model into the real
Externí odkaz:
http://arxiv.org/abs/2403.13783
Autor:
Feng, Yutao, Feng, Xiang, Shang, Yintong, Jiang, Ying, Yu, Chang, Zong, Zeshun, Shao, Tianjia, Wu, Hongzhi, Zhou, Kun, Jiang, Chenfanfu, Yang, Yin
We demonstrate the feasibility of integrating physics-based animations of solids and fluids with 3D Gaussian Splatting (3DGS) to create novel effects in virtual scenes reconstructed using 3DGS. Leveraging the coherence of the Gaussian Splatting and P
Externí odkaz:
http://arxiv.org/abs/2401.15318
We introduce PhysGaussian, a new method that seamlessly integrates physically grounded Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis. Employing a custom Material Point Method (MPM), our approach enriches 3D Gau
Externí odkaz:
http://arxiv.org/abs/2311.12198
Autor:
Zong, Zeshun, Li, Xuan, Li, Minchen, Chiaramonte, Maurizio M., Matusik, Wojciech, Grinspun, Eitan, Carlberg, Kevin, Jiang, Chenfanfu, Chen, Peter Yichen
We propose a hybrid neural network and physics framework for reduced-order modeling of elastoplasticity and fracture. State-of-the-art scientific computing models like the Material Point Method (MPM) faithfully simulate large-deformation elastoplasti
Externí odkaz:
http://arxiv.org/abs/2310.17790
Autor:
Zong, Zeshun, Li, Xuan, Ye, Jianping, Wen, Sian, Yang, Yin, Kaufman, Danny M., Li, Minchen, Jiang, Chenfanfu
Contact-aware topology optimization faces challenges in robustness, accuracy, and applicability to internal structural surfaces under self-contact. This work builds on the recently proposed barrier-based Incremental Potential Contact (IPC) model and
Externí odkaz:
http://arxiv.org/abs/2208.04844
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