Zobrazeno 1 - 10
of 681
pro vyhledávání: '"LUCAS, JAMES"'
Autor:
Durasov, Nikita, Mahmood, Rafid, Choi, Jiwoong, Law, Marc T., Lucas, James, Fua, Pascal, Alvarez, Jose M.
3D object detection is an essential task for computer vision applications in autonomous vehicles and robotics. However, models often struggle to quantify detection reliability, leading to poor performance on unfamiliar scenes. We introduce a framewor
Externí odkaz:
http://arxiv.org/abs/2410.23910
Diffusion models achieve high-quality sample generation at the cost of a lengthy multistep inference procedure. To overcome this, diffusion distillation techniques produce student generators capable of matching or surpassing the teacher in a single s
Externí odkaz:
http://arxiv.org/abs/2410.23274
Autor:
Shen, Tianchang, Li, Zhaoshuo, Law, Marc, Atzmon, Matan, Fidler, Sanja, Lucas, James, Gao, Jun, Sharp, Nicholas
Meshes are ubiquitous in visual computing and simulation, yet most existing machine learning techniques represent meshes only indirectly, e.g. as the level set of a scalar field or deformation of a template, or as a disordered triangle soup lacking l
Externí odkaz:
http://arxiv.org/abs/2409.20562
Autor:
Mehta, Nikhil, Lorraine, Jonathan, Masson, Steve, Arunachalam, Ramanathan, Bhat, Zaid Pervaiz, Lucas, James, Zachariah, Arun George
When training deep learning models, the performance depends largely on the selected hyperparameters. However, hyperparameter optimization (HPO) is often one of the most expensive parts of model design. Classical HPO methods treat this as a black-box
Externí odkaz:
http://arxiv.org/abs/2406.18630
Autor:
Xie, Kevin, Lorraine, Jonathan, Cao, Tianshi, Gao, Jun, Lucas, James, Torralba, Antonio, Fidler, Sanja, Zeng, Xiaohui
Recent text-to-3D generation approaches produce impressive 3D results but require time-consuming optimization that can take up to an hour per prompt. Amortized methods like ATT3D optimize multiple prompts simultaneously to improve efficiency, enablin
Externí odkaz:
http://arxiv.org/abs/2403.15385