Suchergebnisse - computational geometry and object modeling- physics based modeling

Differentiable Physics Simulation of Dynamics-Augmented Neural Objects von Le Cleac'h, Simon, Yu, Hong-Xing, Guo, Michelle, Howell, Taylor, Gao, Ruohan, Wu, Jiajun, Manchester, Zachary, Schwager, Mac

“… We present a differentiable pipeline for simulating the motion of objects that represent their geometry as a continuous density field parameterized as a deep network …”
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Interactive Modeling and Authoring of Climbing Plants von 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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Example-Driven Deformations Based on Discrete Shells von Fröhlich, Stefan, Botsch, Mario

“… In this paper, we propose a modelling framework that is both example‐driven and physics‐based and thereby overcomes the limitations of both approaches …”
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Modeling and stability analysis of dark energy ultra-compact objects in extended teleparallel gravity von 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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A comparative study of novel object-based geostatistical algorithm and direct sampling method on fracture network modeling von 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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2-D Thin-Shell Model Based on the H- \phi-Formulation for Modeling HTS Tapes in COMSOL Multiphysics von 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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Modeling the Bionic Compound Eye Vision System Based on Graph Neural Networks von 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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Modeling Indirect Illumination for Inverse Rendering von Zhang, Yuanqing, Sun, Jiaming, He, Xingyi, Fu, Huan, Jia, Rongfei, Zhou, Xiaowei

“… Recent advances in implicit neural representations and differentiable rendering make it possible to simultaneously recover the geometry and materials of an object from multi-view RGB images captured …”
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LiDAR Snowfall Simulation for Robust 3D Object Detection von Hahner, Martin, Sakaridis, Christos, Bijelic, Mario, Heide, Felix, Yu, Fisher, Dai, Dengxin, Van Gool, Luc

“… In this paper, we address the problem of LiDAR-based 3D object detection under snow-fall. Due to the difficulty of collecting and annotating training data in this setting …”
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Enriching Facial Blendshape Rigs with Physical Simulation von Kozlov, Yeara, Bradley, Derek, Bächer, Moritz, Thomaszewski, Bernhard, Beeler, Thabo, Gross, Markus

“… the bouncing of facial tissue when running). We tackle this problem by introducing a simple and intuitive system that allows to add physics to facial blendshape animation …”
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Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization von Kaneko, Takuhiro

“… Geometry-agnostic system identification is a technique for identifying the geometry and physical properties of an object from video sequences without any geometric as-sumptions …”
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Efficient Physics-Based Implementation for Realistic Hand-Object Interaction in Virtual Reality von Holl, Markus, Oberweger, Markus, Arth, Clemens, Lepetit, Vincent

“… We propose an efficient physics-based method for dexterous 'real hand' - 'virtual object' interaction in Virtual Reality environments …”
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PoreNet: CNN-Based Pore Descriptor for High-Resolution Fingerprint Recognition von Anand, Vijay, Kanhangad, Vivek

“… With the development of high-resolution fingerprint scanners, high-resolution fingerprint-based biometric recognition has received increasing attention in recent years …”
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Gradient-Based Illumination Description for Image Forgery Detection von Matern, Falko, Riess, Christian, Stamminger, Marc

“… In this work, we propose a physics-based forensic descriptor to characterize 2-D lighting environments of objects …”
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Multi-scale Multi-physics Phase-field coupled Thermo-mechanical approach for modeling of powder bed fusion process von Darabi, Roya, Azinpour, Erfan, Reis, Ana, de Sa, Jose Cesar

“… •A multi-physics thermomechanical phase-field Allen-Cahn formulation is built for studying powder bed fusion processes …”
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Statistical modeling of the gas–liquid interface using geometrical variables: Toward a unified description of the disperse and separated phase flows von Mohamed, Essadki, Florence, Drui, Stéphane, de Chaisemartin, Adam, Larat, Thibault, Ménard, Marc, Massot

“… •Statistical formalism for gas–liquid interface based on geometrical properties.•Link of local interface geometry with NDF of objects using topological invariants …”
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A Smoke Detection Algorithm Based on Improved YOLO v7 Lightweight Model for UAV Optical Sensors von Sun, Hao-Ran, Shi, Bao-Jun, Zhou, Ya-Tong, Chen, Jing-Hui, Hu, Yun-Long

“… ), object detection has emerged as a research focus in the UAV patrol inspection. To address the problem of high computational complexity in detection models carried …”
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Modeling Geometric State for Fluids in Porous Media: Evolution of the Euler Characteristic von McClure, James E., Ramstad, Thomas, Li, Zhe, Armstrong, Ryan T., Berg, Steffen

“… Working toward a more rigorous framework, we make use of the fact that the momentary state of such a system is uniquely characterized by the geometry of the pore-scale fluid distribution …”
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One-Shot Real-to-Sim via End-to-End Differentiable Simulation and Rendering von Zhu, Yifan, Xiang, Tianyi, Dollar, Aaron M., Pan, Zherong

“… Our method employs a novel differentiable point-based geometry representation coupled with a grid-based appearance field, which allows differentiable object collision detection and rendering …”
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NNWarp: Neural Network-Based Nonlinear Deformation von Luo, Ran, Shao, Tianjia, Wang, Huamin, Xu, Weiwei, Chen, Xiang, Zhou, Kun, Yang, Yin

“… NNWarp is a highly re-usable and efficient neural network (NN) based nonlinear deformable simulation framework …”
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