Difference between revisions of "Event:CGI 2021"

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{{Event
 
{{Event
 
|Acronym=CGI 2021
 
|Acronym=CGI 2021
|Title=Computer Graphics International
+
|Title=38th Computer Graphics International Conference
 +
|Ordinal=38
 
|In Event Series=Event Series:CGI
 
|In Event Series=Event Series:CGI
 
|Single Day Event=no
 
|Single Day Event=no
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|Event Status=as scheduled
 
|Event Status=as scheduled
 
|Event Mode=online
 
|Event Mode=online
 +
|Academic Field=Computer Graphics
 
|Official Website=http://www.cgs-network.org/cgi21/
 
|Official Website=http://www.cgs-network.org/cgi21/
 
|Submission Link=https://easychair.org/conferences/?conf=cgi2021
 
|Submission Link=https://easychair.org/conferences/?conf=cgi2021
 +
|DOI=10.25798/6acw-9g04
 
|Type=Conference
 
|Type=Conference
 
|has general chair=Victoria Interrante, Nadia Magnenat Thalmann
 
|has general chair=Victoria Interrante, Nadia Magnenat Thalmann

Latest revision as of 12:12, 18 December 2023

Deadlines
2021-04-15
2021-03-10
2021-07-20
2021-03-10
10
Mar
2021
Paper
10
Mar
2021
Submission
15
Apr
2021
Notification
20
Jul
2021
Camera-Ready
organization
Metrics
Venue
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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
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