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The simulations of field-evaporation processes for silicon atoms on various Si(001) surfaces are implemented using the first-principles calculations based on the real-space finite-difference method. We find that the atoms which locate on…

Condensed Matter · Physics 2009-11-10 Tomoya Ono , Kikuji Hirose

Generating physically plausible human motion is crucial for applications such as character animation and virtual reality. Existing approaches often incorporate a simulator-based motion projection layer to the diffusion process to enforce…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Akihisa Watanabe , Jiawei Ren , Li Siyao , Yichen Peng , Erwin Wu , Edgar Simo-Serra

The advancement of UAV technology has enabled efficient, non-contact structural health monitoring. Combined with photogrammetry, UAVs can capture high-resolution scans and reconstruct detailed 3D models of infrastructure. However, a key…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Siqi Chen , Shanyue Guan

This paper introduces a generalised 3rd-order Spectral Representation Method for the simulation of multi-dimensional stochastic fields with asymmetric non-linearities. The simulated random fields satisfy a prescribed Power Spectrum and…

Statistics Theory · Mathematics 2020-07-06 Lohit Vandanapu , Michael D. Shields

We present a method for estimating neural scenes representations of objects given only a single image. The core of our method is the estimation of a geometric scaffold for the object and its use as a guide for the reconstruction of the…

Computer Vision and Pattern Recognition · Computer Science 2021-06-24 Konstantinos Rematas , Ricardo Martin-Brualla , Vittorio Ferrari

This project aims to create 3d model of the natural world and model changes in it instantaneously. A framework for modeling instantaneous changes natural scenes in real time using Lagrangian Particle Framework and a fluid-particle grid…

Computer Vision and Pattern Recognition · Computer Science 2010-11-29 Vikram Dhillon

In this paper we present a method to robustly evaluate the quantitative accuracy of various tomographic phase microscopy (TPM) methods with a multiple scattering 3D-printed microphantom with known geometry and refractive index distribution.…

Automatic reconstruction of 3D models from images using multi-view Structure-from-Motion methods has been one of the most fruitful outcomes of computer vision. These advances combined with the growing popularity of Micro Aerial Vehicles as…

Robotics · Computer Science 2016-11-15 Shreyansh Daftry , Christof Hoppe , Horst Bischof

This paper presents a method for modelling interfacial mass transfer in Interface Capturing simulations of two-phase flow with phase change. The model enables mechanistic prediction of the local rate of phase change at the vapour-liquid…

Fluid Dynamics · Physics 2021-08-25 G. Giustini , R. I. Issa , M. J. Bluck

Recent advancements in 3D generation models have opened new possibilities for simulating dynamic 3D object movements and customizing behaviors, yet creating this content remains challenging. Current methods often require manual assignment…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Haoyu Zhao , Hao Wang , Xingyue Zhao , Hao Fei , Hongqiu Wang , Chengjiang Long , Hua Zou

In this paper, we report a numerical method for analyzing optical radiation from a two-level atom. The proposed method can consistently consider the optical emission and absorption process of an atom, and also the interaction between atoms…

Optics · Physics 2019-05-29 Hideaki Taniyama , Hisashi Sumikura , Masaya Notomi

Recent vision transformer based video models mostly follow the ``image pre-training then finetuning" paradigm and have achieved great success on multiple video benchmarks. However, full finetuning such a video model could be computationally…

Computer Vision and Pattern Recognition · Computer Science 2023-02-07 Taojiannan Yang , Yi Zhu , Yusheng Xie , Aston Zhang , Chen Chen , Mu Li

In Earth remote sensing, spatial-frequency domain visibility samples are inversely transformed into spatial-domain brightness temperature (BT) images through the signal processing pipeline of synthetic aperture interferometric radiometers…

Signal Processing · Electrical Eng. & Systems 2026-04-03 Yuankai Luo , Han Zhou , Jinlong Hao , Dong Zhu , Fei Hu

Structured illumination microscopy (SIM) enables live cell, super-resolution imaging at high speeds. SIM uses sophisticated optical systems to generate pre-determined excitation light patterns, and reconstruction algorithms to enhance the…

Neutral atom quantum computers require accurate single atom detection for the preparation and readout of their qubits. This is usually done using fluorescence imaging. The occupancy of an atom site in these images is often somewhat…

Quantum Physics · Physics 2023-10-05 Jonas Winklmann , Dimitrios Tsevas , Martin Schulz

Image simulation for scanning transmission electron microscopy at atomic resolution for samples with realistic dimensions can require very large computation times using existing simulation algorithms. We present a new algorithm named PRISM…

Materials Science · Physics 2017-04-24 Colin Ophus

Sintering, as a thermal process at elevated temperature below the melting point, is widely used to bond contacting particles into engineering products such as ceramics, metals, polymers, and cemented carbides. Modelling and simulation as…

Materials Science · Physics 2023-02-13 Min Yi , Wenxuan Wang , Ming Xue , Qihua Gong , Bai-Xiang Xu

The scanning electron microscopy (SEM) is probably one the most fascinating examination approach that has been used since more than two decades to detailed inspection of micro scale objects. Most of the scanning electron microscopes could…

Computer Vision and Pattern Recognition · Computer Science 2016-02-18 Wichai Shanklin

Recent progress in human shape learning, shows that neural implicit models are effective in generating 3D human surfaces from limited number of views, and even from a single RGB image. However, existing monocular approaches still struggle…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Marco Pesavento , Yuanlu Xu , Nikolaos Sarafianos , Robert Maier , Ziyan Wang , Chun-Han Yao , Marco Volino , Edmond Boyer , Adrian Hilton , Tony Tung

Atomic scale simulations are a key element of modern science in that they allow to understand, and even predict, complex physical or chemical phenomena on the basis of the fundamental laws of nature. Among the different existing atomic…

Materials Science · Physics 2021-07-20 Alexandre Boulle , Alain Chartier , Aurélien Debelle , Xin Jin , Jean-Paul Crocombette
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