Graphical Models最新文献_第10页

Realistic simulation of fruit mildew diseases: Skin discoloration, fungus growth and volume shrinkage 水果霉菌病的真实模拟：皮肤变色、真菌生长和体积缩小

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101194

Yixin Xu , Shiguang Liu

{"title":"Realistic simulation of fruit mildew diseases: Skin discoloration, fungus growth and volume shrinkage","authors":"Yixin Xu , Shiguang Liu","doi":"10.1016/j.gmod.2023.101194","DOIUrl":"10.1016/j.gmod.2023.101194","url":null,"abstract":"<div><p>Time-varying effects simulation plays a critical role in computer graphics. Fruit diseases are typical time-varying phenomena. Due to the biological complexity, the existing methods fail to represent the biodiversity and biological law of symptoms. To this end, this paper proposes a biology-aware, physically-based framework that respects biological knowledge for realistic simulation of fruit mildew diseases. The simulated symptoms include skin discoloration, fungus growth, and volume shrinkage. Specifically, we take advantage of both the zero-order kinetic model and reaction–diffusion model to represent the complex fruit skin discoloration related to skin biological characteristics. To reproduce 3D mildew growth, we employ the Poisson-disk sampling technique and propose a template model instancing method. One can flexibly change hyphal template models to characterize the fungal biological diversity. To model the fruit’s biological structure, we fill the fruit mesh interior with particles in a biologically-based arrangement. Based on this structure, we propose a turgor pressure and a Lennard-Jones force-based adaptive mass–spring system to simulate the fruit shrinkage in a biological manner. Experiments verified that the proposed framework can effectively simulate mildew diseases, including gray mold, powdery mildew, and downy mildew. Our results are visually compelling and close to the ground truth. Both quantitative and qualitative experiments validated the proposed method.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"129 ","pages":"Article 101194"},"PeriodicalIF":1.7,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41392551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Non-homogeneous denoising for virtual reality in real-time path tracing rendering 实时路径跟踪绘制中虚拟现实的非均匀去噪

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101184

Victor Peres , Esteban Clua , Thiago Porcino , Anselmo Montenegro

{"title":"Non-homogeneous denoising for virtual reality in real-time path tracing rendering","authors":"Victor Peres , Esteban Clua , Thiago Porcino , Anselmo Montenegro","doi":"10.1016/j.gmod.2023.101184","DOIUrl":"10.1016/j.gmod.2023.101184","url":null,"abstract":"<div><p>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 rendering techniques. Hence, this work proposes a novel and promising rendering pipeline for denoising a real-time path-traced application in a dual-screen system such as head-mounted display (HMD) devices. Therefore, we leverage characteristics of the foveal vision by computing G-Buffers with the features of the scene and a buffer with the foveated distribution for both left and right screens. Later, we path trace the image within the coordinates buffer generating only a few initial rays per selected pixel, and reconstruct the noisy image output with a novel non-homogeneous denoiser that accounts for the pixel distribution. Our experiments showed that this proposed rendering pipeline could achieve a speedup factor up to 1.35 compared to one without our optimizations.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"129 ","pages":"Article 101184"},"PeriodicalIF":1.7,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43863090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Obituary: Christoph M. Hoffmann 讣告:Christoph M. Hoffmann

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101186

引用次数: 0

ImplicitPCA: Implicitly-proxied parametric encoding for collision-aware garment reconstruction 用于碰撞感知服装重构的隐式代理参数编码

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101195

Lan Chen , Jie Yang , Hongbo Fu , Xiaoxu Meng , Weikai Chen , Bo Yang , Lin Gao

{"title":"ImplicitPCA: Implicitly-proxied parametric encoding for collision-aware garment reconstruction","authors":"Lan Chen , Jie Yang , Hongbo Fu , Xiaoxu Meng , Weikai Chen , Bo Yang , Lin Gao","doi":"10.1016/j.gmod.2023.101195","DOIUrl":"https://doi.org/10.1016/j.gmod.2023.101195","url":null,"abstract":"<div><p>The emerging remote collaboration in a virtual environment calls for quickly generating high-fidelity 3D humans with cloth from a single image. To estimate clothing geometry and topology, parametric models are widely used but often lack details. Alternative approaches based on implicit functions can generate accurate details but are limited to closed surfaces and may not produce physically correct reconstructions, such as collision-free human avatars. To solve these problems, we present <em>ImplicitPCA</em>, a framework for high-fidelity single-view garment reconstruction that bridges the good ends of explicit and implicit representations. The key is a parametric SDF network that closely couples parametric encoding with implicit functions and thus enjoys the fine details brought by implicit reconstruction while maintaining correct topology with open surfaces. We further introduce a collision-aware regression network to ensure the physical correctness of cloth and human. During inference, an iterative routine is applied to an input image with 2D garment landmarks to obtain optimal parameters by aligning the cloth mesh projection with the 2D landmarks and fitting the parametric implicit fields with the reconstructed cloth SDF. The experiments on the public dataset and in-the-wild images demonstrate that our result outperforms the prior works, reconstructing detailed, topology-correct 3D garments while avoiding garment-body collisions.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"129 ","pages":"Article 101195"},"PeriodicalIF":1.7,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49889737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Representing uncertainty through sentiment and stance visualizations: A survey 通过情绪和立场可视化来表示不确定性：一项调查

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101191

Bárbara Ramalho, Joaquim Jorge, Sandra Gama

引用次数: 0

GIM3D plus: A labeled 3D dataset to design data-driven solutions for dressed humans GIM3D plus:一个标记的3D数据集，为穿着的人设计数据驱动的解决方案

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101187

Pietro Musoni , Simone Melzi , Umberto Castellani

引用次数: 0

Neural style transfer for 3D meshes 3D网格的神经风格转移

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101198

Hongyuan Kang , Xiao Dong , Juan Cao , Zhonggui Chen

引用次数: 0

GBGVD: Growth-based geodesic Voronoi diagrams GBGVD:基于生长的测地线Voronoi图

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101196

Yunjia Qi , Chen Zong , Yunxiao Zhang , Shuangmin Chen , Minfeng Xu , Lingqiang Ran , Jian Xu , Shiqing Xin , Ying He

{"title":"GBGVD: Growth-based geodesic Voronoi diagrams","authors":"Yunjia Qi , Chen Zong , Yunxiao Zhang , Shuangmin Chen , Minfeng Xu , Lingqiang Ran , Jian Xu , Shiqing Xin , Ying He","doi":"10.1016/j.gmod.2023.101196","DOIUrl":"https://doi.org/10.1016/j.gmod.2023.101196","url":null,"abstract":"<div><p>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 there are sufficiently many generators, straight-line distance serves as an effective alternative of geodesic distance for computing GVDs. However, for a set of sparse generators, one has to use exact or approximate geodesic distance instead, which requires a high computational cost to trace the bisectors and the branching points. We observe that it is easier to infer the branching points by stretching the ordinary segments than competing between wavefronts from different directions. Based on the observation, we develop an unfolding technique to compute the ordinary points of the GVD, as well as a growth-based technique to stretch the traced bisector segments such that they finally grow into a complete GVD. Experimental results show that our algorithm runs 3 times as fast as the state-of-the-art method at the same accuracy level.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"129 ","pages":"Article 101196"},"PeriodicalIF":1.7,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49890151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GSNet: Generating 3D garment animation via graph skinning network GSNet：通过图形蒙皮网络生成3D服装动画

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-10-01 DOI: 10.1016/j.gmod.2023.101197

Tao Peng , Jiewen Kuang , Jinxing Liang , Xinrong Hu , Jiazhe Miao , Ping Zhu , Lijun Li , Feng Yu , Minghua Jiang

引用次数: 0

PU-GAT: Point cloud upsampling with graph attention network PU-GAT:点云上采样与图关注网络

IF 1.7 4区计算机科学

Graphical Models Pub Date : 2023-09-25 DOI: 10.1016/j.gmod.2023.101201

Xuan Deng, Cheng Zhang, Jian Shi, Zizhao Wu

引用次数: 0