BriefGPT.xyz
Oct, 2022
动力学增强神经对象的可微物理仿真
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects
HTML
PDF
Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao...
TL;DR
通过深度学习神经辐射场以及可微分管道来实现物体动态学建模并进行碰撞检测,拥有优化机器人抓取和操纵等功能,从而实现更好的视觉和动力学准确性。
Abstract
We present a
differentiable pipeline
for simulating the motion of objects that represent their geometry as a continuous density field parameterized as a deep network. This includes
neural radiance fields
(NeRFs),
→