About

We are an EU funded training network for PhD students in Computer Graphics. Our topic focus area is Predictive Rendering: highly accurate image synthesis that can be used for authoritative previews of appearance.

Our main research areas are:

Improved
Capture

capture techniques provide input data for the modeling stage, and are of critical importance in predictive workflows.

Improved
Authoring

working with both capture data and highly realistic material models is in some cases radically different from standard workflows, and needs research before it reaches the same level of utility as normal workflows.

Improved
Simulation

Simulations are used for modelling purposes, rendering simulates the propagation of light in a scene, and manufacturing techniques are being optimized via simulations of light interaction with the manufactured object.

Improved
Learning

The use of PR results in machine learning settings, and employing deep learning techniques for optimization of the actual rendering pipeline, including capture, authoring and light transport simulation.

55000
Foreign Followers
60
Certified Teachers
2240
Students Enrolled
215
Complete Courses

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Tony Nguyen, Co-Founder

WHO WE ARE

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WHAT WE DO

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