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Neural Radiosity
Saeed Hadadan - UMD
Wednesday, March 2, 2022, 1:30-2:00 pm Calendar
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Abstract

In this talk, I will present a method called "Neural Radiosity" that is a method of solving the rendering equation using a single neural network. This method, which is inspired by Radiosity techniques, is based on a generic method of solving Fredholm equations of the second kind using a neural network. Our network can be used for animation generation, or novel view synthesis and generally is a radiance function that satisfies the full solution of the rendering equation with global illumination.

 

Those who would like to join remotely can use the following Zoom link:

https://umd.zoom.us/j/94332767827?pwd=RElnZElhNjNualliaG5pMG9zUHBKQT09

Bio

I am a third year PhD student at UMD CS department working with Prof. Matthias Zwicker. My main research interest is use of neural networks in Computer Graphics with a focus on physically-based rendering.

This talk is organized by Chris Metzler