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The inflation of an inner radial (or spherical) cavity in an amorphous solids confined in a disk (or a sphere), served as a fruitful case model for studying the effects of plastic deformations on the mechanical response. It was shown that when the fi
Externí odkaz:
http://arxiv.org/abs/2406.16075
Autor:
Yang, Bowen, Patel, Tarun, Cheng, Meixin, Pichugin, Kostyantyn, Tian, Lin, Sherlekar, Nachiket, Yan, Shaohua, Fu, Yang, Tian, Shangjie, Lei, Hechang, Reimer, Michael E., Okamoto, Junichi, Tsen, Adam W.
Various noncollinear spin textures and magnetic phases have been predicted in twisted two-dimensional CrI$_3$ due to competing ferromagnetic (FM) and antiferromagnetic (AFM) interlayer exchange from moir\'e stacking - with potential spintronic applic
Externí odkaz:
http://arxiv.org/abs/2406.08556
Autor:
Cheng, An-Chieh, Yin, Hongxu, Fu, Yang, Guo, Qiushan, Yang, Ruihan, Kautz, Jan, Wang, Xiaolong, Liu, Sifei
Vision Language Models (VLMs) have demonstrated remarkable performance in 2D vision and language tasks. However, their ability to reason about spatial arrangements remains limited. In this work, we introduce Spatial Region GPT (SpatialRGPT) to enhanc
Externí odkaz:
http://arxiv.org/abs/2406.01584
Autor:
Jiang, Kaiwen, Fu, Yang, T, Mukund Varma, Belhe, Yash, Wang, Xiaolong, Su, Hao, Ramamoorthi, Ravi
Novel view synthesis from a sparse set of input images is a challenging problem of great practical interest, especially when camera poses are absent or inaccurate. Direct optimization of camera poses and usage of estimated depths in neural radiance f
Externí odkaz:
http://arxiv.org/abs/2405.03659
3D hand-object interaction data is scarce due to the hardware constraints in scaling up the data collection process. In this paper, we propose HOIDiffusion for generating realistic and diverse 3D hand-object interaction data. Our model is a condition
Externí odkaz:
http://arxiv.org/abs/2403.12011
Autor:
Qiu, Ri-Zhao, Hu, Yafei, Yang, Ge, Song, Yuchen, Fu, Yang, Ye, Jianglong, Mu, Jiteng, Yang, Ruihan, Atanasov, Nikolay, Scherer, Sebastian, Wang, Xiaolong
An open problem in mobile manipulation is how to represent objects and scenes in a unified manner, so that robots can use it both for navigating in the environment and manipulating objects. The latter requires capturing intricate geometry while under
Externí odkaz:
http://arxiv.org/abs/2403.07563
We introduce a new RGB-D object dataset captured in the wild called WildRGB-D. Unlike most existing real-world object-centric datasets which only come with RGB capturing, the direct capture of the depth channel allows better 3D annotations and broade
Externí odkaz:
http://arxiv.org/abs/2401.12592
Despite Graph neural networks' significant performance gain over many classic techniques in various graph-related downstream tasks, their successes are restricted in shallow models due to over-smoothness and the difficulties of optimizations among ma
Externí odkaz:
http://arxiv.org/abs/2312.08221
While neural rendering has led to impressive advances in scene reconstruction and novel view synthesis, it relies heavily on accurately pre-computed camera poses. To relax this constraint, multiple efforts have been made to train Neural Radiance Fiel
Externí odkaz:
http://arxiv.org/abs/2312.07504