Advances in Computer Graphics 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1–5, 2024, Proceedings, Part II /
The three-volume set LNCS 15338, 15339 and 15340 constitutes the refereed proceedings from the 41st Computer Graphics International Conference, CGI 2024, held during July 1–5, 2024, in Geneva, Switzerland. The 84 full papers presented in these proceedings were carefully reviewed and selected from 21...
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| その他の著者: | , , , , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| 版: | 1st ed. 2025. |
| シリーズ: | Lecture Notes in Computer Science,
15339 |
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| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-82021-2 |
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| 245 | 1 | 0 | |a Advances in Computer Graphics |h [electronic resource] : |b 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1–5, 2024, Proceedings, Part II / |c edited by Nadia Magnenat-Thalmann, Jinman Kim, Bin Sheng, Zhigang Deng, Daniel Thalmann, Ping Li. |
| 250 | |a 1st ed. 2025. | ||
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| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 15339 | |
| 505 | 0 | |a Graphics and VR/AR -- VR Isle Academy: A VR Digital Twin Approach for Robotic Surgical Skill Development -- BoneStory: Visual Storytelling in 3D Virtual Surgical Planning for Bone Fracture Reduction -- The Significance of Interaction in Determining Learning Outcomes in Serious Games -- A Computational Medical XR Discipline, by George Papagiannakis, Walter Greenleaf -- Physiological Factors based Depression Assessment in Virtual Reality -- Assessing Cognitive Load in Distraction and Task Switching: Implications for Developing Realistic Clinical XR Training -- SPARC: Shared Perspective with Avatar Distortion for Remote Collaboration in VR -- Numerical Coarsening for Tetrahedral Meshes -- Reconstruction -- Towards Finer Human Reconstruction for Single RGB-D Images -- UrgRF: Radiance Field Reconstruction Guided by Low-Resolution Grids -- DeGraRec: 3D Deformable Object Reconstruction using Graph Neural Networks and Depth Estimation -- DUE-MVSNet: Learning Multi-View Stereo Based on Dual Uncertainty Estimation -- GRD: Garment Reconstruction and Draping with Preserved Design Based on 2D Image -- Survey on Multi-Person 3D Reconstruction from Monocular View -- SewPCT: Sewing Pattern Reconstruction from Point Cloud with Transformer -- Rendering and Animation -- Neural Metameric Enhancement for Foveated Rendering -- Expression Fusion to Enhance Video- and Speech-driven 3D Facial Animation -- Real-ESRGAN based EXR Upscale for VFX Pipeline -- Unsupervised Real-time Garment Deformation Prediction Driven by Human Body Pose and Shape -- GPN: Generative Point-based NeRF -- Interactive Ray Tracing of 3D Indoor Scanned Point Clouds -- Theoretical Analysis -- A Manifold Representation of the Key in Vision Transformers -- Mamba-Spike: Enhancing the Mamba Architecture with a Spiking Front-End for Efficient Temporal Data Processing -- PDGC: Properly Disentangle by Gating and Contrasting for Cross-Domain Few-Shot Classification -- Multi-scale Similarity Information Fusion Hashing for Unsupervised Cross-modal Retrieval -- YFLM: An Improved Levenberg-Marquardt Algorithm for Global Bundle Adjustment -- Automated Data Exploration and Analysis. | |
| 520 | |a The three-volume set LNCS 15338, 15339 and 15340 constitutes the refereed proceedings from the 41st Computer Graphics International Conference, CGI 2024, held during July 1–5, 2024, in Geneva, Switzerland. The 84 full papers presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers are organized in the following topical sections: Part I: Colors, painting and layout; detection and recognition; image analysis and processing; image restoration and enhancement; and visual analytics and modeling. Part II: Graphics and VR/AR; reconstruction; rendering and animation; and theoretical analysis. Part III: Image analysis and visualization; image attention and perception; medical imaging and robotics; synthesis and generation; and empowering novel geometric algebra for graphics & engineering workshop. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
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