Zobrazeno 1 - 10
of 718
pro vyhledávání: '"Zordan P"'
Autor:
Liu, Hsueh-Ti Derek, Agrawala, Maneesh, Yuksel, Cem, Omernick, Tim, Misra, Vinith, Corazza, Stefano, McGuire, Morgan, Zordan, Victor
This paper presents a unified differentiable boolean operator for implicit solid shape modeling using Constructive Solid Geometry (CSG). Traditional CSG relies on min, max operators to perform boolean operations on implicit shapes. But because these
Externí odkaz:
http://arxiv.org/abs/2407.10954
Autor:
Benchekroun, Otman, Xie, Kaixiang, Liu, Hsueh-Ti Derek, Grinspun, Eitan, Andrews, Sheldon, Zordan, Victor
Traditional character animation specializes in characters with a rigidly articulated skeleton and a bipedal/quadripedal morphology. This assumption simplifies many aspects for designing physically based animations, like locomotion, but comes with the
Externí odkaz:
http://arxiv.org/abs/2405.18609
Autor:
Shen, Siyuan, Shao, Tianjia, Zhou, Kun, Jiang, Chenfanfu, Andrews, Sheldon, Zordan, Victor, Yang, Yin
We present a framework of elastic locomotion, which allows users to enliven an elastic body to produce interesting locomotion by prescribing its high-level kinematics. We formulate this problem as an inverse simulation problem and seek the optimal mu
Externí odkaz:
http://arxiv.org/abs/2405.14595
Autor:
Xu, Pei, Xie, Kaixiang, Andrews, Sheldon, Kry, Paul G., Neff, Michael, McGuire, Morgan, Karamouzas, Ioannis, Zordan, Victor
Publikováno v:
ACM Transactions on Graphics 42, 6, Article 112.1522 (December 2023)
Motivated by humans' ability to adapt skills in the learning of new ones, this paper presents AdaptNet, an approach for modifying the latent space of existing policies to allow new behaviors to be quickly learned from like tasks in comparison to lear
Externí odkaz:
http://arxiv.org/abs/2310.00239
Autor:
Dugan, Liam, Wadhawan, Anshul, Spence, Kyle, Callison-Burch, Chris, McGuire, Morgan, Zordan, Victor
Recent work in speech-to-speech translation (S2ST) has focused primarily on offline settings, where the full input utterance is available before any output is given. This, however, is not reasonable in many real-world scenarios. In latency-sensitive
Externí odkaz:
http://arxiv.org/abs/2306.01201
Publikováno v:
ACM Transactions on Graphics (August 2023)
We present a deep learning method for composite and task-driven motion control for physically simulated characters. In contrast to existing data-driven approaches using reinforcement learning that imitate full-body motions, we learn decoupled motions
Externí odkaz:
http://arxiv.org/abs/2305.03286
Autor:
Giulio Maria Menti, Matteo Bruzzone, Mauro Agostino Zordan, Patrizia Visentin, Andrea Drago, Marco dal Maschio, Aram Megighian
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Animals’ ability to orient and navigate relies on selecting an appropriate motor response based on the perception and integration of the environmental information. This is the case, for instance, of the optokinetic response (OKR) in Drosop
Externí odkaz:
https://doaj.org/article/f1b85721c9314dbb98e73636cd5fde69
Publikováno v:
IEEE Computer Graphics and Applications, 20(4):86-96, 2000
Objects that move in response to the actions of a main character often make an important contribution to the visual richness of an animated scene. We use the term "secondary motion" to refer to passive motions generated in response to the movements o
Externí odkaz:
http://arxiv.org/abs/2303.10551
Autor:
Bruna Del Acqua Barbosa, Livia Maria de Paula Castro, Isabella Guidini Benacchio, Ricardo Laudares S. Zordan
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 28, Iss , Pp 103952- (2024)
Introdução: Meningite é uma inflamação das meninges, podendo ser de etiologia infecciosa ou não, sendo doença de notificação compulsória no Brasil. Apresenta caráter endêmico com períodos de surtos. 2014 foi ano crítico, com subsequente
Externí odkaz:
https://doaj.org/article/00968d1645744f459cb79e4f3fe38274
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 28, Iss , Pp 104288- (2024)
Introdução: A Febre Maculosa Brasileira (FMB) é uma doença infecciosa causada pela bactéria Rickettsia rickettsii, transmitida pela picada do carrapato do gênero Amblyomma. Apresenta evolução rápida e sintomas inespecíficos que dificultam o
Externí odkaz:
https://doaj.org/article/b45c46484eaa46748db6763918ccd070