-
Point cloud denoising using a generalized error metric Graph. Models (IF 1.7) Pub Date : 2024-03-18 Qun-Ce Xu, Yong-Liang Yang, Bailin Deng
Effective removal of noises from raw point clouds while preserving geometric features is the key challenge for point cloud denoising. To address this problem, we propose a novel method that jointly optimizes the point positions and normals. To preserve geometric features, our formulation uses a generalized robust error metric to enforce piecewise smoothness of the normal vector field as well as consistency
-
Auxetic dihedral Escher tessellations Graph. Models (IF 1.7) Pub Date : 2024-03-13 Xiaokang Liu, Lin Lu, Lingxin Cao, Oliver Deussen, Changhe Tu
The auxetic structure demonstrates an unconventional deployable mechanism, expanding in transverse directions while being stretched longitudinally (exhibiting a negative Poisson’s ratio). This characteristic offers advantages in diverse fields such as structural engineering, flexible electronics, and medicine. The rotating (semi-)rigid structure, as a typical auxetic structure, has been introduced
-
IGF-Fit: Implicit gradient field fitting for point cloud normal estimation Graph. Models (IF 1.7) Pub Date : 2024-02-28 Bowen Lyu, Li-Yong Shen, Chun-Ming Yuan
We introduce IGF-Fit, a novel method for estimating surface normals from point clouds with varying noise and density. Unlike previous approaches that rely on point-wise weights and explicit representations, IGF-Fit employs a network that learns an implicit representation and uses derivatives to predict normals. The input patch serves as both a shape latent vector and query points for fitting the implicit
-
Pixel art character generation as an image-to-image translation problem using GANs Graph. Models (IF 1.7) Pub Date : 2024-02-02 Flávio Coutinho, Luiz Chaimowicz
-
Evaluating and comparing crowd simulations: Perspectives from a crowd authoring tool Graph. Models (IF 1.7) Pub Date : 2024-01-03 Gabriel Fonseca Silva, Paulo Ricardo Knob, Rubens Halbig Montanha, Soraia Raupp Musse
-
Modeling multi-style portrait relief from a single photograph Graph. Models (IF 1.7) Pub Date : 2023-11-28 Yu-Wei Zhang, Hongguang Yang, Ping Luo, Zhi Li, Hui Liu, Zhongping Ji, Caiming Zhang
-
High-performance Ellipsoidal Clipmaps Graph. Models (IF 1.7) Pub Date : 2023-11-30 Aleksandar Dimitrijević, Dejan Rančić
-
A decomposition scheme for continuous Level of Detail, streaming and lossy compression of unordered point clouds Graph. Models (IF 1.7) Pub Date : 2023-11-08 Jan Martens, Jörg Blankenbach
-
A systematic approach for enhancement of homogeneous background images using structural information Graph. Models (IF 1.7) Pub Date : 2023-10-25 D. Vijayalakshmi, Malaya Kumar Nath
Image enhancement is an indispensable pre-processing step for several image processing applications. Mainly, histogram equalization is one of the widespread techniques used by various researchers to improve the image quality by expanding the pixel values to fill the entire dynamic grayscale. It results in the visual artifact, structural information loss near edges due to the information loss (due to
-
Vertex position estimation with spatial–temporal transformer for 3D human reconstruction Graph. Models (IF 1.7) Pub Date : 2023-10-26 Xiangjun Zhang, Yinglin Zheng, Wenjin Deng, Qifeng Dai, Yuxin Lin, Wangzheng Shi, Ming Zeng
-
Jrender: An efficient differentiable rendering library based on Jittor Graph. Models (IF 1.7) Pub Date : 2023-10-18 Hanggao Xin, Chenzhong Xiang, Wenyang Zhou, Dun Liang
-
Packing problems on generalised regular grid: Levels of abstraction using integer linear programming Graph. Models (IF 1.7) Pub Date : 2023-10-07 Hao Hua, Benjamin Dillenburger
-
Editorial special issue on the 9th smart tools and applications in graphics conference (STAG 2022) Graph. Models (IF 1.7) Pub Date : 2023-09-29 Daniela Cabiddu, Gianmarco Cherchi, Teseo Schneider
Abstract not available
-
PU-GAT: Point cloud upsampling with graph attention network Graph. Models (IF 1.7) Pub Date : 2023-09-25 Xuan Deng, Cheng Zhang, Jian Shi, Zizhao Wu
-
Neural style transfer for 3D meshes Graph. Models (IF 1.7) Pub Date : 2023-09-09 Hongyuan Kang, Xiao Dong, Juan Cao, Zhonggui Chen
-
Unsupervised learning of style-aware facial animation from real acting performances Graph. Models (IF 1.7) Pub Date : 2023-09-08 Wolfgang Paier, Anna Hilsmann, Peter Eisert
-
GSNet: Generating 3D garment animation via graph skinning network Graph. Models (IF 1.7) Pub Date : 2023-09-06 Tao Peng, Jiewen Kuang, Jinxing Liang, Xinrong Hu, Jiazhe Miao, Ping Zhu, Lijun Li, Feng Yu, Minghua Jiang
-
Fast progressive polygonal approximations for online strokes Graph. Models (IF 1.7) Pub Date : 2023-09-04 Mohammad Tanvir Parvez
-
Realistic simulation of fruit mildew diseases: Skin discoloration, fungus growth and volume shrinkage Graph. Models (IF 1.7) Pub Date : 2023-08-28 Yixin Xu, Shiguang Liu
-
Representing uncertainty through sentiment and stance visualizations: A survey Graph. Models (IF 1.7) Pub Date : 2023-08-18 Bárbara Ramalho, Joaquim Jorge, Sandra Gama
-
GBGVD: Growth-based geodesic Voronoi diagrams Graph. Models (IF 1.7) Pub Date : 2023-08-15 Yunjia Qi, Chen Zong, Yunxiao Zhang, Shuangmin Chen, Minfeng Xu, Lingqiang Ran, Jian Xu, Shiqing Xin, Ying He
Given a set of generators, the geodesic Voronoi diagram (GVD) defines how the base surface is decomposed into separate regions such that each generator dominates a region in terms of geodesic distance to the generators. Generally speaking, each ordinary bisector point of the GVD is determined by two adjacent generators while each branching point of the GVD is given by at least three generators. When
-
Unified shape and appearance reconstruction with joint camera parameter refinement Graph. Models (IF 1.7) Pub Date : 2023-08-13 Julian Kaltheuner, Patrick Stotko, Reinhard Klein
-
ImplicitPCA: Implicitly-proxied parametric encoding for collision-aware garment reconstruction Graph. Models (IF 1.7) Pub Date : 2023-08-10 Lan Chen, Jie Yang, Hongbo Fu, Xiaoxu Meng, Weikai Chen, Bo Yang, Lin Gao
-
Non-homogeneous denoising for virtual reality in real-time path tracing rendering Graph. Models (IF 1.7) Pub Date : 2023-08-08 Victor Peres, Esteban Clua, Thiago Porcino, Anselmo Montenegro
Real time Path-tracing is becoming an important approach for the future of games, digital entertainment, and virtual reality applications that require realism and immersive environments. Among different possible optimizations, denoising Monte Carlo rendered images is necessary in low sampling densities. When dealing with Virtual Reality devices, other possibilities can also be considered, such as foveated
-
-
GIM3D plus: A labeled 3D dataset to design data-driven solutions for dressed humans Graph. Models (IF 1.7) Pub Date : 2023-08-04 Pietro Musoni, Simone Melzi, Umberto Castellani
-
RFMNet: Robust Deep Functional Maps for unsupervised non-rigid shape correspondence Graph. Models (IF 1.7) Pub Date : 2023-07-29 Ling Hu, Qinsong Li, Shengjun Liu, Dong-Ming Yan, Haojun Xu, Xinru Liu
-
Joint data and feature augmentation for self-supervised representation learning on point clouds Graph. Models (IF 1.7) Pub Date : 2023-07-28 Zhuheng Lu, Yuewei Dai, Weiqing Li, Zhiyong Su
-
MixNet: Mix different networks for learning 3D implicit representations Graph. Models (IF 1.7) Pub Date : 2023-07-25 Bowen Lyu, Li-Yong Shen, Chun-Ming Yuan
-
Component-aware generative autoencoder for structure hybrid and shape completion Graph. Models (IF 1.7) Pub Date : 2023-07-18
-
Two-step techniques for accurate selection of small elements in VR environments Graph. Models (IF 1.7) Pub Date : 2023-07-13
-
A robust workflow for b-rep generation from image masks Graph. Models (IF 1.7) Pub Date : 2023-07-05 Omar M. Hafez, Mark M. Rashid
A novel approach to generating watertight, manifold boundary representations from noisy binary image masks of MRI or CT scans is presented. The method samples an input segmented image and locally approximates the material boundary. Geometric error metrics between the voxelated boundary and an approximating template surface are minimized, and boundary point/normals are correspondingly generated. Voronoi
-
SPIDER: A framework for processing, editing and presenting immersive high-resolution spherical indoor scenes Graph. Models (IF 1.7) Pub Date : 2023-07-05 M. Tukur, G. Pintore, E. Gobbetti, J. Schneider, M. Agus
-
Efficient collision detection using hybrid medial axis transform and BVH for rigid body simulation Graph. Models (IF 1.7) Pub Date : 2023-05-24 Xingxin Li, Shibo Song, Junfeng Yao, Hanyin Zhang, Rongzhou Zhou, Qingqi Hong
Medial Axis Transform (MAT) has been recently adopted as the acceleration structure of broad-phase collision detection. Compared to traditional BVH-based methods, MAT can provide a high-fidelity volumetric approximation of 3D complex objects, resulting in higher collision culling efficiency. However, due to MAT’s non-hierarchical structure, it may be outperformed in collision-light scenarios because
-
Camera distance helps 3D hand pose estimated from a single RGB image Graph. Models (IF 1.7) Pub Date : 2023-05-16 Yuan Cui, Moran Li, Yuan Gao, Changxin Gao, Fan Wu, Hao Wen, Jiwei Li, Nong Sang
-
HMDO : Markerless multi-view hand manipulation capture with deformable objects Graph. Models (IF 1.7) Pub Date : 2023-05-09 Wei Xie, Zhipeng Yu, Zimeng Zhao, Binghui Zuo, Yangang Wang
We construct the first markerless deformable interaction dataset recording interactive motions of the hands and deformable objects, called HMDO (Hand Manipulation with Deformable Objects). With our built multi-view capture system, it captures the deformable interactions with multiple perspectives, various object shapes, and diverse interactive forms. Our motivation is the current lack of hand and deformable
-
Automated generation of floorplans with non-rectangular rooms Graph. Models (IF 1.7) Pub Date : 2023-04-29 Krishnendra Shekhawat, Rohit Lohani, Chirag Dasannacharya, Sumit Bisht, Sujay Rastogi
-
High-fidelity point cloud completion with low-resolution recovery and noise-aware upsampling Graph. Models (IF 1.7) Pub Date : 2023-03-31 Ren-Wu Li, Bo Wang, Lin Gao, Ling-Xiao Zhang, Chun-Peng Li
-
Learning-based 3D imaging from single structured-light image Graph. Models (IF 1.7) Pub Date : 2023-02-20 Andrew-Hieu Nguyen, Olivia Rees, Zhaoyang Wang
-
An improved semi-synthetic approach for creating visual-inertial odometry datasets Graph. Models (IF 1.7) Pub Date : 2023-02-17 Sam Schofield, Andrew Bainbridge-Smith, Richard Green
-
Procedural generation of semantically plausible small-scale towns Graph. Models (IF 1.7) Pub Date : 2023-01-27 Abdullah Bulbul
-
Volume reconstruction based on the six-direction cubic box-spline Graph. Models (IF 1.7) Pub Date : 2022-11-17 Hyunjun Kim, Minho Kim
-
SharpNet: A deep learning method for normal vector estimation of point cloud with sharp features Graph. Models (IF 1.7) Pub Date : 2022-09-16 Zhaochen Zhang, Jianhui Nie, Mengjuan Yu, Xiao Liu
-
A data driven approach to generate realistic 3D tree barks Graph. Models (IF 1.7) Pub Date : 2022-09-05 Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier
-
ObjectFusion: Accurate object-level SLAM with neural object priors Graph. Models (IF 1.7) Pub Date : 2022-07-30 Zi-Xin Zou, Shi-Sheng Huang, Tai-Jiang Mu, Yu-Ping Wang
-
A deep architecture for log-Euclidean Fisher vector end-to-end learning with application to 3D point cloud classification Graph. Models (IF 1.7) Pub Date : 2022-07-25 Amira Chekir
-
Deep functional maps for simultaneously computing direct and symmetric correspondences of 3D shapes Graph. Models (IF 1.7) Pub Date : 2022-07-11 Hui Wang, Bitao Ma, Junjie Cao, Xiuping Liu, Hui Huang
-
Construction of quasi-Bézier surfaces from boundary conditions Graph. Models (IF 1.7) Pub Date : 2022-07-08 Yong-Xia Hao, Ting Li
The quasi-Bézier surface is a kind of commonly used surfaces in CAGD/CAD systems. In this paper, we present a novel approach to construct quasi-Bézier surfaces from the boundary information based on a general second order functional. This functional includes many common functionals as special cases, such as the Dirichlet functional, the biharmonic functional and the quasi-harmonic functional etc. The
-
Out-of-core outlier removal for large-scale indoor point clouds Graph. Models (IF 1.7) Pub Date : 2022-06-13 Linlin Ge, Jieqing Feng
-
Point cloud denoising review: from classical to deep learning-based approaches Graph. Models (IF 1.7) Pub Date : 2022-05-02 Lang Zhou, Guoxing Sun, Yong Li, Weiqing Li, Zhiyong Su
-
Patch-based mesh inpainting via low rank recovery Graph. Models (IF 1.7) Pub Date : 2022-05-04 Xiaoqun Wu, Xiaoyun Lin, Nan Li, Haisheng Li
-
TAD-Net: tooth axis detection network based on rotation transformation encoding Graph. Models (IF 1.7) Pub Date : 2022-04-25 Yeying Fan, Qian Ma, Guangshun Wei, Zhiming Cui, Yuanfeng Zhou, Wenping Wang
The tooth axes, defined on 3D tooth model, play a key role in digital orthodontics, which is usually used as an important reference in automatic tooth arrangement and anomaly detection. In this paper, we propose an automatic deep learning network (TAD-Net) of tooth axis detection based on rotation transformation encoding. By utilizing quaternion transformation, we convert the geometric rotation transformation
-
3D Printed hair modeling from strand-level hairstyles Graph. Models (IF 1.7) Pub Date : 2022-03-25 Han Chen, Minghai Chen, Lin Lu
Recent advances in the design and fabrication of personalized figurines have made the creation of high-quality figurines possible for ordinary users with the facilities of 3D printing techniques. The hair plays an important role in gaining the realism of the figurines. Existing hair reconstruction methods suffer from the high demand for acquisition equipment, or the result is approximated very coarsely
-
Untangling all-hex meshes via adaptive boundary optimization Graph. Models (IF 1.7) Pub Date : 2022-03-25 Qing Huang, Wen-Xiang Zhang, Qi Wang, Ligang Liu, Xiao-Ming Fu
-
4 and 5-Axis Additive Manufacturing of Parts Represented using Free-form 3D Curves Graph. Models (IF 1.7) Pub Date : 2022-03-24 Erkan Gunpinar, Serhat Cam
-
Jacobi–PIA algorithm for bi-cubic B-spline interpolation surfaces Graph. Models (IF 1.7) Pub Date : 2022-03-16 Chengzhi Liu, Juncheng Li, Lijuan Hu
Based on the Jacobi splitting of collocation matrices, we in this paper exploited the Jacobi–PIA format for bi-cubic B-spline surfaces. We first present the Jacobi–PIA scheme in term of matrix product, which has higher computational efficiency than that in term of matrix-vector product. To analyze the convergence of Jacobi–PIA, we transform the matrix product iterative scheme into the equivalent matrix-vector
-
An Approach to Preprocess and Cluster a BRDF Database Graph. Models (IF 1.7) Pub Date : 2021-12-28 Mislene da Silva Nunes, Methanias Colaço Júnior, Gastão Florêncio Miranda Jr., Beatriz Trinchão Andrade
-
Multi-scale and multi-level shape descriptor learning via a hybrid fusion network Graph. Models (IF 1.7) Pub Date : 2021-11-22 Xinwei Huang, Nannan Li, Qing Xia, Shuai Li, Aimin Hao, Hong Qin
-
Graph-PBN: Graph-based parallel branch network for efficient point cloud learning Graph. Models (IF 1.7) Pub Date : 2021-11-17 Cheng Zhang, Hao Chen, Haocheng Wan, Ping Yang, Zizhao Wu
-
Authoring multi-style terrain with global-to-local control Graph. Models (IF 1.7) Pub Date : 2021-11-18 Jian Zhang, Chen Li, Peichi Zhou, Changbo Wang, Gaoqi He, Hong Qin