Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lu, Daohan"'
3D Gaussian Splatting (3DGS) is increasingly popular for 3D reconstruction due to its superior visual quality and rendering speed. However, 3DGS training currently occurs on a single GPU, limiting its ability to handle high-resolution and large-scale
Externí odkaz:
http://arxiv.org/abs/2406.18533
Autor:
Lu, Daohan, Wang, Sheng-Yu, Kumari, Nupur, Agarwal, Rohan, Tang, Mia, Bau, David, Zhu, Jun-Yan
The growing proliferation of customized and pretrained generative models has made it infeasible for a user to be fully cognizant of every model in existence. To address this need, we introduce the task of content-based model search: given a query and
Externí odkaz:
http://arxiv.org/abs/2210.03116
Autor:
Lu, Daohan, Fang, Yi
We present a new technique named "Meta Deformation Network" for 3D shape matching via deformation, in which a deep neural network maps a reference shape onto the parameters of a second neural network whose task is to give the correspondence between a
Externí odkaz:
http://arxiv.org/abs/2006.14758