Computer Graphics World最新文献_第2页

Uncertainty guidance in proton therapy planning visualization 质子治疗计划可视化中的不确定性指导

Computer Graphics World Pub Date : 2023-02-01 DOI: 10.2139/ssrn.4263600

Maath Musleh, L. Muren, L. Toussaint, A. Vestergaard, E. Gröller, R. Raidou

引用次数: 0

Vulkan all the way: Transitioning to a modern low-level graphics API in academia Vulkan一路走来:在学术界过渡到现代的低级图形API

Computer Graphics World Pub Date : 2023-02-01 DOI: 10.2139/ssrn.4263599

Johannes Unterguggenberger, B. Kerbl, M. Wimmer

{"title":"Vulkan all the way: Transitioning to a modern low-level graphics API in academia","authors":"Johannes Unterguggenberger, B. Kerbl, M. Wimmer","doi":"10.2139/ssrn.4263599","DOIUrl":"https://doi.org/10.2139/ssrn.4263599","url":null,"abstract":"For over two decades, the OpenGL API provided users with the means for implementing versatile, feature-rich, and portable real-time graphics applications. Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach realtime graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL’s conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU, which allows a high level of controllability and, thereby, deep insights into the inner workings of modern GPUs. This property makes the Vulkan API especially well suitable for teaching graphics programming in university education, where fundamental knowledge shall be conveyed. Hence, it stands to reason that educators who have their students’ best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in both introductory and advanced graphics courses side-by-side with conventional OpenGL. A collection of surveys enables us to draw conclusions about perceived workload, difficulty, and students’ acceptance of either approach. In doing so, we identify suitable conditions and recommendations for teaching Vulkan to both undergraduate and graduate students. © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).","PeriodicalId":51003,"journal":{"name":"Computer Graphics World","volume":"3 1","pages":"155-165"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78619431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Turning carpets into multi-image switchable displays 把地毯变成多图像可切换的显示器

Computer Graphics World Pub Date : 2023-02-01 DOI: 10.2139/ssrn.4213086

Takumi Yamamoto, Yutaka Sugiura

引用次数: 0

A novel Multi-scale architecture driven by decoupled semantic attention transfer for person image generation 一种解耦语义注意力转移驱动的多尺度人物图像生成体系结构

Computer Graphics World Pub Date : 2023-01-01 DOI: 10.2139/ssrn.4123243

Meng Wang, Jiaxing Chen, Haipeng Liu

引用次数: 1

A large-scale point cloud semantic segmentation network via local dual features and global correlations 基于局部对偶特征和全局关联的大规模点云语义分割网络

Computer Graphics World Pub Date : 2023-01-01 DOI: 10.2139/ssrn.4226670

Yiqiang Zhao, Xingyi Ma, Bin Hu, Qi Zhang, Mao Ye, Guoqing Zhou

引用次数: 7

UDAformer: Underwater image enhancement based on dual attention transformer UDAformer:基于双注意转换器的水下图像增强

Computer Graphics World Pub Date : 2023-01-01 DOI: 10.2139/ssrn.4162640

Zhen Shen, Haiyong Xu, Ting Luo, Yang Song, Zhouyan He

引用次数: 3

Light subpath reservoir for interactive ray-traced global illumination 用于交互式光线跟踪全局照明的光子路径库

Computer Graphics World Pub Date : 2023-01-01 DOI: 10.2139/ssrn.4202290

Fuyan Liu, Junwen Gan

引用次数: 1

Anisotropic screen space rendering for particle-based fluid simulation 基于粒子的流体模拟的各向异性屏幕空间渲染

Computer Graphics World Pub Date : 2022-12-01 DOI: 10.2139/ssrn.4217325

Yanrui Xu, Yuanmu Xu, Yuege Xiong, Dou Yin, Xiaojuan Ban, Xiaokun Wang, Jian Chang, Jian Zhang

引用次数: 0

BrightFormer: A transformer to brighten the image BrightFormer:使图像变亮的转换器

Computer Graphics World Pub Date : 2022-12-01 DOI: 10.2139/ssrn.4194700

Yong Wang, Bo Li, Xi Yuan

引用次数: 0

Learning Neural Implicit Representations with Surface Signal Parameterizations 用表面信号参数化学习神经隐式表示

Computer Graphics World Pub Date : 2022-11-01 DOI: 10.48550/arXiv.2211.00519

Yanran Guan, Andrei Chubarau, Ruby Rao, D. Nowrouzezahrai

{"title":"Learning Neural Implicit Representations with Surface Signal Parameterizations","authors":"Yanran Guan, Andrei Chubarau, Ruby Rao, D. Nowrouzezahrai","doi":"10.48550/arXiv.2211.00519","DOIUrl":"https://doi.org/10.48550/arXiv.2211.00519","url":null,"abstract":"Neural implicit surface representations have recently emerged as popular alternative to explicit 3D object encodings, such as polygonal meshes, tabulated points, or voxels. While significant work has improved the geometric fidelity of these representations, much less attention is given to their final appearance. Traditional explicit object representations commonly couple the 3D shape data with auxiliary surface-mapped image data, such as diffuse color textures and fine-scale geometric details in normal maps that typically require a mapping of the 3D surface onto a plane, i.e., a surface parameterization; implicit representations, on the other hand, cannot be easily textured due to lack of configurable surface parameterization. Inspired by this digital content authoring methodology, we design a neural network architecture that implicitly encodes the underlying surface parameterization suitable for appearance data. As such, our model remains compatible with existing mesh-based digital content with appearance data. Motivated by recent work that overfits compact networks to individual 3D objects, we present a new weight-encoded neural implicit representation that extends the capability of neural implicit surfaces to enable various common and important applications of texture mapping. Our method outperforms reasonable baselines and state-of-the-art alternatives.","PeriodicalId":51003,"journal":{"name":"Computer Graphics World","volume":"39 1","pages":"257-264"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77080768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2