Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Feng Yutao"'
Publikováno v:
Jixie qiangdu, Vol 44, Pp 1107-1112 (2022)
The mechanical properties of steel plate are an obvious sensitivity of strain rate. Accurate measurement of the dynamic properties of materials plays an important role in accurately predicting the collision resistance of the car body. Based on the un
Externí odkaz:
https://doaj.org/article/aca604208736428daecfa00157df2e8e
Autor:
Feng, Yutao, Shang, Yintong, Feng, Xiang, Lan, Lei, Zhe, Shandian, Shao, Tianjia, Wu, Hongzhi, Zhou, Kun, Su, Hao, Jiang, Chenfanfu, Yang, Yin
We present ElastoGen, a knowledge-driven AI model that generates physically accurate 4D elastodynamics. Unlike deep models that learn from video- or image-based observations, ElastoGen leverages the principles of physics and learns from established m
Externí odkaz:
http://arxiv.org/abs/2405.15056
Autor:
Jiang, Ying, Yu, Chang, Xie, Tianyi, Li, Xuan, Feng, Yutao, Wang, Huamin, Li, Minchen, Lau, Henry, Gao, Feng, Yang, Yin, Jiang, Chenfanfu
As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content. Unfortunately, traditional techniques for content creation, editing, and interactio
Externí odkaz:
http://arxiv.org/abs/2401.16663
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 show that physics-based simulations can be seamlessly integrated with NeRF to generate high-quality elastodynamics of real-world objects. Unlike existing methods, we discretize nonlinear hyperelasticity in a meshless way, obviating the necessity f
Externí odkaz:
http://arxiv.org/abs/2311.13099
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
Sentence Simplification aims to rephrase complex sentences into simpler sentences while retaining original meaning. Large Language models (LLMs) have demonstrated the ability to perform a variety of natural language processing tasks. However, it is n
Externí odkaz:
http://arxiv.org/abs/2302.11957
Autor:
Qian, Yulan a, 1, Cui, Hailong a, 1, Lu, Ziyi a, 1, Guo, Jing a, Feng, Yutao a, Li, Jinglong a, Wang, Ying a, Zhao, Hongjuan a, Jiao, Chengqi b, c, ⁎, Xiong, Xiaoqing a, b, ⁎
Publikováno v:
In Microchemical Journal December 2024 207
Autor:
Feng, Yutao, Li, Weibin
Publikováno v:
In Journal of Constructional Steel Research March 2025 226
Autor:
Feng, Yutao, Zhu, Junyang, Cui, Hailong, Lu, Ziyi, Li, Jinglong, Wang, Ying, Jiao, Chengqi, Xiong, Xiaoqing
Publikováno v:
In The Journal of Supercritical Fluids March 2025 217