Difference between revisions of "CGI 2021"
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|has general chair=Victoria Interrante, Nadia Magnenat Thalmann | |has general chair=Victoria Interrante, Nadia Magnenat Thalmann | ||
|has program chair=Daniel Thalmann, George Papagiannakis | |has program chair=Daniel Thalmann, George Papagiannakis | ||
+ | |pageCreator=Saskia.Ernert | ||
+ | |pageEditor=Julian Franken | ||
+ | |contributionType=1 | ||
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We invite original contributions that advance the state-of-the-art in topics related to: | We invite original contributions that advance the state-of-the-art in topics related to: |
Latest revision as of 20:10, 1 April 2022
CGI 2021 | |
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Computer Graphics International
| |
Event in series | CGI |
Dates | 2021/09/06 (iCal) - 2021/09/10 |
Homepage: | http://www.cgs-network.org/cgi21/ |
Submitting link: | https://easychair.org/conferences/?conf=cgi2021 |
Location | |
Location: | Geneva, Online |
Important dates | |
Papers: | 2021/03/10 |
Submissions: | 2021/03/10 |
Notification: | 2021/04/15 |
Camera ready due: | 2021/07/20 |
Committees | |
General chairs: | Victoria Interrante, Nadia Magnenat Thalmann |
PC chairs: | Daniel Thalmann, George Papagiannakis |
Table of Contents | |
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We invite original contributions that advance the state-of-the-art in topics related to:
Topics
- Rendering Techniques
- Geometric Computing
- Virtual and Augmented Reality
- Shape and Surface Modeling
- Physically Based Modeling
- Computer Vision for Computer Graphics
- Scientific Visualization
- Data Compression for Graphics
- Medical Imaging
- Computation Geometry
- Image Based Rendering
- Computational Photography
- Computer Animation
- Visual Analytics
- Shape Analysis and Image Retrieval
- Volume Rendering
- Solid Modelling
- Geometric Modelling
- Computational Fabrication
- Image Processing
- 3D Reconstruction
- Global Illumination
- Graphical Human-Computer Interaction
- Human Modelling
- Image Analysis
- Saliency Methods
- Shape Matching
- Sketch-based Modelling
- Robotics and Vision
- Stylized Rendering
- Textures
- Pattern Recognition
- Machine Learning for Graphics