Zobrazeno 1 - 10
of 12 665
pro vyhledávání: '"Bahmani A"'
Autor:
Namekata, Koichi, Bahmani, Sherwin, Wu, Ziyi, Kant, Yash, Gilitschenski, Igor, Lindell, David B.
Methods for image-to-video generation have achieved impressive, photo-realistic quality. However, adjusting specific elements in generated videos, such as object motion or camera movement, is often a tedious process of trial and error, e.g., involvin
Externí odkaz:
http://arxiv.org/abs/2411.04989
Autor:
Bahmani, Sohail
We derive a fundamental trade-off between standard and adversarial risk in a rather general situation that formalizes the following simple intuition: "If no (nearly) optimal predictor is smooth, adversarial robustness comes at the cost of accuracy."
Externí odkaz:
http://arxiv.org/abs/2411.05853
Publikováno v:
Eur. Phys. J. C 84, 979 (2024)
We consider the third law of thermodynamics for families of 4- and n-dimensional Vaidya black holes, including many of interest. Since there are several versions of the definition of surface gravity as well as the extremality condition for dynamical
Externí odkaz:
http://arxiv.org/abs/2409.18756
Gaussian splatting has demonstrated excellent performance for view synthesis and scene reconstruction. The representation achieves photorealistic quality by optimizing the position, scale, color, and opacity of thousands to millions of 2D or 3D Gauss
Externí odkaz:
http://arxiv.org/abs/2409.12954
The need for reliable identification of children in various emerging applications has sparked interest in leveraging child face recognition technology. This study introduces a longitudinal approach to enrollment and verification accuracy for child fa
Externí odkaz:
http://arxiv.org/abs/2408.07225
The Deep operator network (DeepONet) is a powerful yet simple neural operator architecture that utilizes two deep neural networks to learn mappings between infinite-dimensional function spaces. This architecture is highly flexible, allowing the evalu
Externí odkaz:
http://arxiv.org/abs/2407.13010
Autor:
Bahmani, Sherwin, Skorokhodov, Ivan, Siarohin, Aliaksandr, Menapace, Willi, Qian, Guocheng, Vasilkovsky, Michael, Lee, Hsin-Ying, Wang, Chaoyang, Zou, Jiaxu, Tagliasacchi, Andrea, Lindell, David B., Tulyakov, Sergey
Modern text-to-video synthesis models demonstrate coherent, photorealistic generation of complex videos from a text description. However, most existing models lack fine-grained control over camera movement, which is critical for downstream applicatio
Externí odkaz:
http://arxiv.org/abs/2407.12781
Autor:
Fuhg, Jan Niklas, Padmanabha, Govinda Anantha, Bouklas, Nikolaos, Bahmani, Bahador, Sun, WaiChing, Vlassis, Nikolaos N., Flaschel, Moritz, Carrara, Pietro, De Lorenzis, Laura
This review article highlights state-of-the-art data-driven techniques to discover, encode, surrogate, or emulate constitutive laws that describe the path-independent and path-dependent response of solids. Our objective is to provide an organized tax
Externí odkaz:
http://arxiv.org/abs/2405.03658
Autor:
Bahmani, Sherwin, Liu, Xian, Yifan, Wang, Skorokhodov, Ivan, Rong, Victor, Liu, Ziwei, Liu, Xihui, Park, Jeong Joon, Tulyakov, Sergey, Wetzstein, Gordon, Tagliasacchi, Andrea, Lindell, David B.
Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using supervision from pre-trained text-to-video models. However, existing representations for motion, such as deformation models or time-dependent neural representations, are l
Externí odkaz:
http://arxiv.org/abs/2403.17920
Publikováno v:
Eur. Phys. J. C (2024) 84: 197
Here we consider the generalized Oppenheimer-Snyder collapse of a star into a four-dimensional Einstein-Gauss-Bonnet black hole as well as a class of regular black holes labeled by the polytropic index of the stellar matter. We then analyze the natur
Externí odkaz:
http://arxiv.org/abs/2402.07828