Search Results - computational geometry and object modeling—(physicsly OR physical) based modeling*

A comparative study of novel object-based geostatistical algorithm and direct sampling method on fracture network modeling by Shakiba, Sima, Doulati Ardejani, Faramarz

“… In this paper, a comparative study between the new object-based iterative fracture network modeling algorithm and the geostatistical…”
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Interactive Modeling and Authoring of Climbing Plants by Hädrich, Torsten, Benes, Bedrich, Deussen, Oliver, Pirk, Sören

“…We present a novel system for the interactive modeling of developmental climbing plants with an emphasis on efficient control and plausible physics response…”
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Laplacian Projection Based Global Physical Prior Smoke Reconstruction by Xiao, Shibang, Tong, Chao, Zhang, Qifan, Cen, Yunchi, Li, Frederick W. B., Liang, Xiaohui

“… Our approach leverages sparse view images and incorporates physical priors across long series of frames, resulting in reconstructed fluids with enhanced physical consistency…”
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Computational geometry for modeling neural populations: From visualization to simulation by de Kamps, Marc, Lepperød, Mikkel, Lai, Yi Ming

“… Rate based models are widely used, but have limitations. Recently, several extremely efficient population-level methods have been proposed that go beyond the characterization of a population in terms of a single variable…”
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Modeling the Bionic Compound Eye Vision System Based on Graph Neural Networks by Arngold, Artem, Li, Yuan, Ren, Xuemei

“… This work proposes a new method for CE modeling based on graph neural networks (GNNs). This model creates a 2-D to 3-D correspondence solving the problem of missing values that appears when an object is not captured in all subeyes…”
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Comparison of Hexcore and Poly-Hexcore computational meshes in the aspect of air flow modeling based on the actual geometry of mining excavations by Wróblewski, Adam, Macek, Arkadiusz, Bansiewicz, Aleksandra, Wodecki, Jacek

“…) for Computational Fluid Dynamics (CFD) calculations, discrete models may be two-dimensional or three-dimensional…”
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GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection by Lu, Yan, Ma, Xinzhu, Yang, Lei, Zhang, Tianzhu, Liu, Yating, Chu, Qi, He, Tong, Li, Yonghui, Ouyang, Wanli

“…Geometry plays a significant role in monocular 3D object detection. It can be used to estimate object depth by using the perspective projection between object's…”
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PyOIF: Computational tool for modelling of multi-cell flows in complex geometries by Jančigová, Iveta, Kovalčíková, Kristína, Weeber, Rudolf, Cimrák, Ivan

“…A user ready, well documented software package PyOIF contains an implementation of a robust validated computational model for cell flow modelling…”
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2-D Thin-Shell Model Based on the H- \phi-Formulation for Modeling HTS Tapes in COMSOL Multiphysics by Alves, Bruno de Sousa, Arsenault, Alexandre, Sirois, Frederic

“… The magnetic scalar potential (<inline-formula><tex-math notation="LaTeX">\phi</tex-math></inline-formula>) is the state variable in nonconducting regions surrounding of the tapes, which are represented as zero thickness objects in the calculus domain…”
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Application of proper orthogonal decomposition to flow fields around various geometries and reduced-order modeling by Nakamura, Yuto, Sato, Shintaro, Ohnishi, Naofumi

“…) for unsteady flow around a stationary object, which allows prediction with different object geometry as a parameter…”
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Exploring the Geometry of the Space of Shells by Heeren, B., Rumpf, M., Schröder, P., Wardetzky, M., Wirth, B.

“… This enables, for example, natural extrapolation of paths in shell space and transfer of large nonlinear deformations from one shell to another with applications in animation, geometric, and physical modeling…”
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Boundary Detection in Particle-based Fluids by Sandim, Marcos, Cedrim, Douglas, Nonato, Luis Gustavo, Pagliosa, Paulo, Paiva, Afonso

“… In contrast to most particle‐based free‐surface detection methods, which perform the surface identification based on physical and geometrical properties derived from the underlying fluid flow simulation, the proposed approach only demands…”
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Enriching Facial Blendshape Rigs with Physical Simulation by Kozlov, Yeara, Bradley, Derek, Bächer, Moritz, Thomaszewski, Bernhard, Beeler, Thabo, Gross, Markus

“…Oftentimes facial animation is created separately from overall body motion. Since convincing facial animation is challenging enough in itself, artists tend to…”
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Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification by Liu, Weiwei, Nie, Xiangli, Zhang, Bo, Sun, Xian

“…Image scene classification aiming to assign specific semantic labels for each image is vitally important for the applications of remote sensing (RS) data. In…”
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Representation of Multirelations of Geographic Scenes Based on Hyperbolic Space by Cui, Wei, Xu, Xing, Chen, Jiale, Feng, Zhanyun, Zhao, Huilin, Hao, Yuanjie, Tian, Yueling, Wang, Jin, Xia, Cong

“… First, the visual features of remote sensing objects are extracted…”
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Hybrid Particle-grid Modeling for Multi-scale Droplet/Spray Simulation by Yang, Lipeng, Li, Shuai, Hao, Aimin, Qin, Hong

“…‐based method is ideal for volumetric spray modeling, using either one alone has encountered tremendous difficulties when effectively simulating droplet/spray mixture phenomena with high fidelity…”
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Phase-field modeling of brittle fracture with multi-level hp-FEM and the finite cell method by Nagaraja, S., Elhaddad, M., Ambati, M., Kollmannsberger, S., De Lorenzis, L., Rank, E.

“…The difficulties in dealing with discontinuities related to a sharp crack are overcome in the phase-field approach for fracture by modeling the crack as a diffusive object being described…”
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Invertible Neural BRDF for Object Inverse Rendering by Chen, Zhe, Nobuhara, Shohei, Nishino, Ko

“…We introduce a novel neural network-based BRDF model and a Bayesian framework for object inverse rendering, i.e…”
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Modeling and stability analysis of dark energy ultra-compact objects in extended teleparallel gravity by Shahzad, M. R., Fakhar, Liaba, Nabi, Kiran, Amjad, Zeeshan, Mubaraki, Ali M., Yagob, Arafa A.

“…Recent advances in modeling compact astrophysical objects have gained the considerable attention of certain research communities to explore the mysterious properties of the complex internal structure of stellar objects…”
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Single-Image Super-Resolution for Remote Sensing Images Using a Deep Generative Adversarial Network With Local and Global Attention Mechanisms by Li, Yadong, Mavromatis, Sebastien, Zhang, Feng, Du, Zhenhong, Sequeira, Jean, Wang, Zhongyi, Zhao, Xianwei, Liu, Renyi

“… With the development of deep learning (DL), some DL-based SR models have achieved state-of-the-art performance, especially the convolutional neural network (CNN…”
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