Zobrazeno 1 - 10
of 40 113
pro vyhledávání: '"So, Kanazawa"'
Self-occlusion is common when capturing people in the wild, where the performer do not follow predefined motion scripts. This challenges existing monocular human reconstruction systems that assume full body visibility. We introduce Self-Occluded Avat
Externí odkaz:
http://arxiv.org/abs/2410.23800
State recognition of the environment and objects, such as the open/closed state of doors and the on/off of lights, is indispensable for robots that perform daily life support and security tasks. Until now, state recognition methods have been based on
Externí odkaz:
http://arxiv.org/abs/2410.22707
We present Agent-to-Sim (ATS), a framework for learning interactive behavior models of 3D agents from casual longitudinal video collections. Different from prior works that rely on marker-based tracking and multiview cameras, ATS learns natural behav
Externí odkaz:
http://arxiv.org/abs/2410.16259
Autor:
Yi, Brent, Ye, Vickie, Zheng, Maya, Müller, Lea, Pavlakos, Georgios, Ma, Yi, Malik, Jitendra, Kanazawa, Angjoo
We present EgoAllo, a system for human motion estimation from a head-mounted device. Using only egocentric SLAM poses and images, EgoAllo guides sampling from a conditional diffusion model to estimate 3D body pose, height, and hand parameters that ca
Externí odkaz:
http://arxiv.org/abs/2410.03665
Although there is a growing demand for cooking behaviours as one of the expected tasks for robots, a series of cooking behaviours based on new recipe descriptions by robots in the real world has not yet been realised. In this study, we propose a robo
Externí odkaz:
http://arxiv.org/abs/2410.02874
In order for robots to autonomously navigate and operate in diverse environments, it is essential for them to recognize the state of their environment. On the other hand, the environmental state recognition has traditionally involved distinct methods
Externí odkaz:
http://arxiv.org/abs/2409.17519
Autor:
Kerr, Justin, Kim, Chung Min, Wu, Mingxuan, Yi, Brent, Wang, Qianqian, Goldberg, Ken, Kanazawa, Angjoo
Humans can learn to manipulate new objects by simply watching others; providing robots with the ability to learn from such demonstrations would enable a natural interface specifying new behaviors. This work develops Robot See Robot Do (RSRD), a metho
Externí odkaz:
http://arxiv.org/abs/2409.18121
Autor:
Ye, Vickie, Li, Ruilong, Kerr, Justin, Turkulainen, Matias, Yi, Brent, Pan, Zhuoyang, Seiskari, Otto, Ye, Jianbo, Hu, Jeffrey, Tancik, Matthew, Kanazawa, Angjoo
gsplat is an open-source library designed for training and developing Gaussian Splatting methods. It features a front-end with Python bindings compatible with the PyTorch library and a back-end with highly optimized CUDA kernels. gsplat offers numero
Externí odkaz:
http://arxiv.org/abs/2409.06765
This note proves that only a linear number of holes in a \v{C}ech complex of $n$ points in $\mathbb{R}^d$ can persist over an interval of constant length. The proof uses a packing argument supported by relating the \v{C}ech complexes with correspondi
Externí odkaz:
http://arxiv.org/abs/2409.05241
Autor:
Maluleke, Vongani, Müller, Lea, Rajasegaran, Jathushan, Pavlakos, Georgios, Ginosar, Shiry, Kanazawa, Angjoo, Malik, Jitendra
This paper asks to what extent social interaction influences one's behavior. We study this in the setting of two dancers dancing as a couple. We first consider a baseline in which we predict a dancer's future moves conditioned only on their past moti
Externí odkaz:
http://arxiv.org/abs/2409.04440