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Related papers: Quality tetrahedral mesh generation with HXT

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We present automatic horizontal fusion, a novel optimization technique that complements the standard kernel fusion techniques for GPU programs. Unlike the standard fusion, whose goal is to eliminate intermediate data round trips, our…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-03 Ao Li , Bojian Zheng , Gennady Pekhimenko , Fan Long

Recent advances in 3D content creation mostly leverage optimization-based 3D generation via score distillation sampling (SDS). Though promising results have been exhibited, these methods often suffer from slow per-sample optimization,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Jiaxiang Tang , Jiawei Ren , Hang Zhou , Ziwei Liu , Gang Zeng

Handling the ever-increasing complexity of mesh generation codes along with the intricacies of newer hardware often results in codes that are both difficult to comprehend and maintain. Different facets of codes such as thread management and…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-30 Christos Tsolakis , Polykarpos Thomadakis , Nikos Chrisochoides

Generating high-quality meshes with complex structures and realistic surfaces is the primary goal of 3D generative models. Existing methods typically employ sequence data or deformable tetrahedral grids for mesh generation. However,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Ruowei Wang , Jiaqi Li , Dan Zeng , Xueqi Ma , Zixiang Xu , Jianwei Zhang , Qijun Zhao

High-Level Synthesis (HLS) is emerging as a mainstream design methodology, allowing software designers to enjoy the benefits of a hardware implementation. Significant work has led to effective compilers that produce high-quality hardware…

Software Engineering · Computer Science 2015-08-28 Jeffrey Goeders , Steven J. E. Wilton

This paper presents the development of a complete CAD-compatible framework for structural shape optimization in 3D. The boundaries of the domain are described using NURBS while the interior is discretized with B\'ezier tetrahedra. The…

Computational Engineering, Finance, and Science · Computer Science 2024-01-01 Jorge López , Cosmin Anitescu , Timon Rabczuk

Scaling artist-designed meshes to high triangle numbers remains challenging for autoregressive generative models. Existing transformer-based methods suffer from long-sequence bottlenecks and limited quantization resolution, primarily due to…

Graphics · Computer Science 2025-11-17 Rui Xu , Tianyang Xue , Qiujie Dong , Le Wan , Zhe Zhu , Peng Li , Zhiyang Dou , Cheng Lin , Shiqing Xin , Yuan Liu , Wenping Wang , Taku Komura

In this paper, we extend our earlier polycube-based all-hexahedral mesh generation method to hexahedral-dominant mesh generation, and present the HexDom software package. Given the boundary representation of a solid model, HexDom creates a…

Graphics · Computer Science 2021-03-23 Yuxuan Yu , Jialei Ginny Liu , Yongjie Jessica Zhang

Meshes composed of well-centered simplices have nice orthogonal dual meshes (the dual Voronoi diagram). This is useful for certain numerical algorithms that prefer such primal-dual mesh pairs. We prove that well-centered meshes also have…

Computational Geometry · Computer Science 2010-01-25 Evan VanderZee , Anil N. Hirani , Damrong Guoy , Edgar Ramos

Efficient generation of 3D digital humans is important in several industries, including virtual reality, social media, and cinematic production. 3D generative adversarial networks (GANs) have demonstrated state-of-the-art (SOTA) quality and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 Rameen Abdal , Wang Yifan , Zifan Shi , Yinghao Xu , Ryan Po , Zhengfei Kuang , Qifeng Chen , Dit-Yan Yeung , Gordon Wetzstein

An explainable, efficient and lightweight method for texture generation, called TGHop (an acronym of Texture Generation PixelHop), is proposed in this work. Although synthesis of visually pleasant texture can be achieved by deep neural…

Computer Vision and Pattern Recognition · Computer Science 2021-07-09 Xuejing Lei , Ganning Zhao , Kaitai Zhang , C. -C. Jay Kuo

This work studies three multigrid variants for matrix-free finite-element computations on locally refined meshes: geometric local smoothing, geometric global coarsening, and polynomial global coarsening. We have integrated the algorithms…

Numerical Analysis · Mathematics 2022-04-12 Peter Munch , Timo Heister , Laura Prieto Saavedra , Martin Kronbichler

We introduce TetSphere Splatting, a Lagrangian geometry representation designed for high-quality 3D shape modeling. TetSphere splatting leverages an underused yet powerful geometric primitive -- volumetric tetrahedral meshes. It represents…

Computer Vision and Pattern Recognition · Computer Science 2025-04-09 Minghao Guo , Bohan Wang , Kaiming He , Wojciech Matusik

This work presents a fully GPU-accelerated algorithm for the polygonal mesh generator known as Polylla. Polylla is a tri-to-polygon mesh generator, which benefits from the half-edge data structure to manage any polygonal shape. The proposed…

Graphics · Computer Science 2024-03-25 Sergio Salinas-Fernández , Nancy Hitschfeld-Kahler , Roberto Carrasco

The multi-level hp-refinement scheme is a powerful extension of the finite element method that allows local mesh adaptation without the trouble of constraining hanging nodes. This is achieved through hierarchical high-order overlay meshes,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-05 John N. Jomo , Nils Zander , Mohamed Elhaddad , Ali Özcan , Stefan Kollmannsberger , Ralf-Peter Mundani , Ernst Rank

This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optimal viewpoint selection strategy, that finds the most…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Jinbo Wu , Xing Liu , Chenming Wu , Xiaobo Gao , Jialun Liu , Xinqi Liu , Chen Zhao , Haocheng Feng , Errui Ding , Jingdong Wang

We extend the GenTen tensor decomposition package by introducing an accelerated dense matricized tensor times Khatri-Rao product (MTTKRP), the workhorse kernel for canonical polyadic (CP) tensor decompositions, that is portable and…

Mathematical Software · Computer Science 2025-10-17 Gabriel Kosmacher , Eric T. Phipps , Sivasankaran Rajamanickam

This paper deals with a simple and straightforward procedure for automatic generation of finite-element or finite-volume meshes of spheroidal domains, consisting of tetrahedra. Besides the equation of the boundary, the generated meshes…

Computational Geometry · Computer Science 2017-05-30 Vitoriano Ruas

In recent years, applications such as real-time simulations, autonomous systems, and video games increasingly demand the processing of complex geometric models under stringent time constraints. Traditional geometric algorithms, including…

Computational Geometry · Computer Science 2026-01-30 Roberto Carrasco , Enzo Meneses , Hector Ferrada , Cristobal A. Navarro , Nancy Hitschfeld

3D generation methods have shown visually compelling results powered by diffusion image priors. However, they often fail to produce realistic geometric details, resulting in overly smooth surfaces or geometric details inaccurately baked in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Ruihan Gao , Kangle Deng , Gengshan Yang , Wenzhen Yuan , Jun-Yan Zhu