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Aug, 2024
学习二维不变可供性知识以实现三维可供性定位
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
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Xianqiang Gao, Pingrui Zhang, Delin Qu, Dong Wang, Zhigang Wang...
TL;DR
本研究针对三维物体可供性定位中人机交互图像和三维物体几何结构不一致的问题,提出了一种新颖的方法,利用多张人机交互图像学习可泛化的不变可供性知识。该方法通过识别多个图像间的共性交互模式,显著提高了三维物体可供性区域的定位精度,并在多项实验对比中超越了现有的最先进技术。
Abstract
3D Object Affordance
Grounding aims to predict the functional regions on a 3D object and has laid the foundation for a wide range of applications in
Robotics
. Recent advances tackle this problem via learning a ma
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