Article
Computer Science, Software Engineering
M. Lyon, M. Campen, L. Kobbelt
Summary: The algorithm utilizes a two-stage method for generating quad layouts, involving positioning vertices and connecting them to form layout edges before partitioning the surface into quadrilateral patches. It allows adjustments to the initial layout vertices in the second stage to improve layout quality.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Software Engineering
Yoann Coudert-Osmont, David Desobry, Martin Heistermann, David Bommes, Nicolas Ray, Dmitry Sokolov
Summary: Grid preserving maps are used for quad meshing and can be obtained by solving a mixed integer optimization problem. They correspond to a sub-division of the surface into quad-shaped charts. We propose operating on a decimated version of the original surface instead of using a T-mesh, which is easier to implement and adapt to different constraints.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Software Engineering
M. Lyon, M. Campen, L. Kobbelt
Summary: The method for creating conforming quad layouts on surfaces is based on the quantization of a T-mesh, encoding infinite layout connectivity options. The algorithm provides quality guarantees for the layout results, allowing users to specify maximum angular deviation. It uses an integer linear program to find a coarse quad layout adhering to that maximal deviation.
COMPUTER GRAPHICS FORUM
(2021)
Article
Mathematics, Applied
Dmitry Golovaty, Jose Alberto Montero, Daniel Spirn
Summary: This paper discusses the generation of n-cross fields, reliably generated on arbitrary Lipschitz domains using tensor theory and Ginzburg-Landau relaxation method. The work offers a rigorous approach for porting the tensor framework to arbitrary dimensions, providing a new relaxation method embedded in global steepest descent, and offering a relaxation scheme for aligning the cross field with the boundary.
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2021)
Article
Computer Science, Software Engineering
Haojie Cheng, Chunxiao Xu, Jiajun Wang, Lingxiao Zhao
Summary: This paper proposes a novel monoscopic panorama reconstruction pipeline that utilizes mesh deformation for image alignment and produces better quad-fisheye image stitching results. The method has advantages in terms of alignment accuracy, adaptability, and image quality of the stitching result.
COMPUTER GRAPHICS FORUM
(2022)
Article
Chemistry, Physical
I-Hsuan Kao, Ryan Muzzio, Hantao Zhang, Menglin Zhu, Jacob Gobbo, Sean Yuan, Daniel Weber, Rahul Rao, Jiahan Li, James H. Edgar, Joshua E. Goldberger, Jiaqiang Yan, David G. Mandrus, Jinwoo Hwang, Ran Cheng, Jyoti Katoch, Simranjeet Singh
Summary: This paper demonstrates the experimental realization of field-free deterministic magnetic switching using the out-of-plane antidamping spin-orbit torque in the quantum material WTe2, and confirms this phenomenon through numerical simulations. This is of great importance for next-generation spintronic applications.
Article
Computer Science, Software Engineering
Alexander Dielen, Isaak Lim, Max Lyon, Leif Kobbelt
Summary: State of the art quadrangulation methods rely on direction fields to align for parametrization extraction of quad meshes. Lack of user-provided direction information often results in failure to capture structures found in meshes created by experienced designers.
COMPUTER GRAPHICS FORUM
(2021)
Article
Engineering, Aerospace
Teng Zhou, Hanbo Jiang, Ben Huang
Summary: This study experimentally investigates the noise characteristics of flying drones under different working conditions. The results show that a drone's noise features are affected by its flight altitude, relative distance from observers, and motion status. The noise levels are higher behind the drone during cruising flight.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Kendrick M. Shepherd, Rene R. Hiemstra, Thomas J. R. Hughes
Summary: This paper presents a special approach called quad layout immersion, which characterizes the surface quadrilateral layout as a special immersion of a cut representation of the surface into the Euclidean plane. This characterization extends naturally to piecewise-linear representations and supports various computational methods for extracting quadrilateral layouts.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Marine
Luka Grubisic, Domagoj Lacmanovic, Marin Palaversa, Pero Prebeg, Josip Tambaca
Summary: We present an algorithm for the fully automatic generation of a class-compliant mesh for ship structural analysis. The algorithm consists of automatic geometry refinement and a preconditioned Delaunay frontal quad dominant mesh generator. The main contribution of the paper is the automatic geometry refinement algorithm and the virtual stiffener procedure. The algorithm is implemented in Python using the open-source Gmsh system and the Open CASCADE kernel.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Software Engineering
Marco Livesu
Summary: In this paper, we propose a simple topological construction to reduce the problem of computing a valid IGM. By mapping a topological disk to a convex domain, the integer constraints are completely removed, allowing for an injective parameterization with the correct integer transitions. However, the resulting maps contain geometric distortion and poor quad connectivity, making them more suitable for robust initialization than for application-ready IGM computation.
COMPUTERS & GRAPHICS-UK
(2023)
Article
Mathematics, Applied
Jikun Zhao, Bei Zhang
Summary: In this paper, the H(curl(2))-conforming virtual element method for the quad-curl problem in two dimensions is presented. An exact discrete complex is established between the H-1-conforming and H(curl(2))-conforming VEs, with rigorous proofs on interpolation error estimates, stability of discrete bilinear forms, coercivity, and inf-sup condition. It is shown that the conforming VEs exhibit optimal convergence, which is supported by numerical examples confirming the theoretical results.
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
(2021)
Article
Computer Science, Software Engineering
Roberto Grosso, Daniel Zint
Summary: The method reconstructs surfaces from volume data using a dual marching cubes approach without lookup tables, generating quad-only meshes that are consistent and watertight. It positions vertices exactly on the surface, uses a halfedge data structure for storage, and processes elements efficiently on GPU. By simplifying patterns to eliminate vertices with valence three, it reduces elements and enhances quality. It describes a CUDA implementation for processing large data sets on GPU at interactive rates, showcasing results on medical and synthetic data.
Article
Physics, Multidisciplinary
N. Lambert, R. Mouland, T. Orchard
Summary: The article discusses non-Lorentzian Lagrangian field theories in 2n - 1 dimensions with an SU(1, n) spacetime symmetry that includes a scaling transformation. These theories can be obtained through conformal compactification of a 2n-dimensional Minkowskian conformal field theory. It covers topics such as symmetry algebra, representations including primary fields, unitarity bounds, examples of free theories in different dimensions, and the reconstruction of the parent 2n-dimensional theory.
FRONTIERS IN PHYSICS
(2022)
Article
Optics
Johannes Knaute, Philipp Hauke
Summary: The recent advancement in engineering of quantum many-body systems allows for controlled studies of fundamental physics problems. This study focuses on the capability of analog ion traps to explore relativistic meson spectra. Through absorption spectroscopy, low-lying meson excitations can be identified with a good degree of accuracy, even for small system sizes. This proposal provides a way to probe salient features of quantum many-body systems resembling meson properties in high-energy physics.
Article
Computer Science, Software Engineering
Marcel Campen, Hanxiao Shen, Jiaran Zhou, Denis Zorin
ACM TRANSACTIONS ON GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Chelsea Tymms, Siqi Wang, Denis Zorin
ACM TRANSACTIONS ON GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Zhongshi Jiang, Ziyi Zhang, Yixin Hu, Teseo Schneider, Denis Zorin, Daniele Panozzo
Summary: We introduce a robust and automatic algorithm to convert linear triangle meshes with feature annotated into coarse tetrahedral meshes with curved elements, ensuring high-order meshes are free of element inversion or self-intersection, controlled by a user-specified maximal geometrical error. The boundary of the output mesh corresponds bijectively to the input, enabling attribute transfer between them, and a bijective shell around the input surface is employed for robust curving and preventing self-intersections. As building blocks, we extend the bijective shell formulation to support features and propose a robust approach for boundary-preserving linear tetrahedral meshing, effectively demonstrated on a large collection of complex 3D models.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Zachary Ferguson, Minchen Li, Teseo Schneider, Francisca Gil-Ureta, Timothy Langlois, Chenfanfu Jiang, Denis Zorin, Danny M. Kaufman, Daniele Panozzo
Summary: We have introduced the first implicit time-stepping algorithm for rigid body dynamics, with contact and friction, that ensures intersection-free configurations at every time step. Our algorithm explicitly models the curved trajectories traced by rigid bodies in collision detection and response.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or
Summary: Establishing a consistent normal orientation for point clouds is challenging due to the complex surface structure. In this research, a novel approach is introduced to separate the problem into local and global phases, using neural networks and dipole propagation to achieve globally consistent normals. This method is stable and robust to various surface features and noise.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
C. Mancinelli, M. Livesu, E. Puppo
Summary: The paper introduces a novel method for computing the cut locus of a distance function on a polygonal mesh, providing accurate approximations that can be used in practical applications and offering a convenient way to prune weak branches of the cut locus. This method is easier to use and significantly faster than previous techniques.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Software Engineering
Davi Colli Tozoni, Yunfan Zhou, Denis Zorin
Summary: Modern fabrication methods have simplified manufacturing of complex free-form shapes at an affordable cost, opening up new possibilities for improving functionality and customization through automatic optimization. However, existing shape optimization methods mainly focus on single parts. This work focuses on supporting shape optimization for assemblies held together by contact and friction, such as furniture joints, construction set assemblies, and certain types of prosthetic devices.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Marcel Campen, Ryan Capouellez, Hanxiao Shen, Leyi Zhu, Daniele Panozzo, Denis Zorin
Summary: The algorithm efficiently computes a discrete metric with prescribed Gaussian curvature and geodesic curvature, considering the intrinsic triangulation of the surface as a degree of freedom, and giving particular attention to the treatment of surface boundaries. The approach explores the numerical limits and derives continuous maps from the discrete metrics.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Yuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Burnaev, Denis Zorin, Kun Zhou, Youyi Zheng
Summary: In this article, a novel feature-preserving mesh denoising method called GCN-Denoiser is presented. Unlike previous methods, it explores the structure of a triangular mesh itself and uses graph convolutional networks (GCNs) to capture geometric features while being lightweight for training and inference. The network utilizes both static and dynamic edge convolutions to learn information from explicit mesh structure and potential implicit relations. GCN-Denoiser achieves state-of-the-art results in multiple noise datasets and provides a new dataset for research community.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Matthew J. Morse, Abtin Rahimian, Denis Zorin
Summary: The study presents a boundary integral equation solver for elliptic partial differential equations on complex 3D geometries, featuring efficiency, high-order accuracy, and robustness in handling complex geometries. The key component is the singular and near-singular layer potential evaluation scheme called hedgehog, which extrapolates solutions along lines to boundaries. The research includes geometry-processing algorithms and an adaptive upsampling scheme, as well as validation through numerical tests and comparison to a competing local evaluation method.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Computer Science, Software Engineering
Claudio Mancinelli, Giacomo Nazzaro, Fabio Pellacini, Enrico Puppo
Summary: We propose a practical framework for converting Bezier curves to surfaces. Our framework supports interactive drawing and editing of Bezier splines on manifold meshes with millions of triangles, using repeated manifold averages. We demonstrate that direct extensions of evaluation algorithms to the manifold setting are fragile, while subdivision-based approaches are robust and efficient. Our framework includes algorithms for curve tracing, point evaluation, and approximated point insertion, achieving correct results and superior performance compared to state-of-the-art methods.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai
Summary: Researchers proposed a part-based scene understanding task, which detects objects and predicts their geometric part masks to understand real-world 3D environments. Leveraging an intermediary part graph representation for robust completion and building part priors significantly outperformed alternative approaches in the task of semantic part completion.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin
Summary: Neural Splines is a 3D surface reconstruction technique based on random feature kernels from infinitely-wide shallow ReLU networks, achieving state-of-the-art results. The method is easy to analyze and can be accelerated, serving as a generalization of cubic spline interpolation.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev
Summary: This study aims to redesign the architecture of the DensePose R-CNN model to reduce model size, improve real-time performance, and enable dense pose inference on mobile devices.
2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2021)
(2021)
Article
Engineering, Electrical & Electronic
S. G. Potapova, A. V. Artemov, S. V. Sviridov, D. A. Musatkina, D. N. Zorin, E. V. Burnaev
JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
(2020)
