Intel ISM Eurographics Keynote: Enhancing Photorealism Enhancement (WHAT?!)
Channel: Alejandro Franceschi
Date: 2021-06-15

#Intel ISM #Eurographics #Keynote: Enhancing #Photorealism Enhancement

OK, this video gets  REALLY nerdy and technical, but what does it discuss? 
I will be adding other videos from the conference, but in a nutshell:
one of the three inventors of this technique, describes how Intel shot a lot of high-resolution, #hdr video footate in Europe. They then fed all that footage into a type of #artificialintelligence, known as a convolutional #neuralnetwork (more here: https://deepai.org/machine-learning-glossary-and-terms/convolutional-neural-network).

OKKKK... but what the heck does that mean?! If you look at the thumbnail image, or subscribe for the follow-up videos (hint! shorter, and easier to understand), the #ai takes all that footage, and in this example, can take #interactive #gameengine playback, and re-project what it learned about all the imagery it was given, to make the game look more #photorealistic, because, well, it's sampling footage from the *real world,* and adapting it to match the game (not change it), in #realtime. 

It is still very much a work in progress, but the more data (footage, photos, etc.) that one can give to such an AI, means that more types of #videogames (even fantastical ones, and other types of content) can look more photoreal, because it is sampling from real world objects, #materials, #textures, etc. 

You can also check out my breakdown in an article I posted on #LinkedIn:
https://www.linkedin.com/pulse/enhancing-photorealism-enhancement-alejandro-franceschi/

Keynote for Eurographics 2021
May 5, 2021
https://conferences.eg.org/eg2021/

STABLE VIEW SYNTHESIS:
Whitepaper: http://vladlen.info/papers/SVS.pdf
Whitepaper (on Slideshare): 
https://www.slideshare.net/AlejandroFranceschi/intel-intelligent-systems-lab-syable-view-synthesis-whitepaper
Video: https://youtu.be/gqgXIY09htI
Code, Data and Project page: https://github.com/isl-org/PhotorealismEnhancement

ENHANCING PHOTOREALISM ENHANCEMENT:
Paper: https://arxiv.org/abs/2105.04619
Video: https://youtu.be/P1IcaBn3ej0
Code, Data and Project page: https://github.com/isl-org/PhotorealismEnhancement

License Creative Commons Attribution license (reuse allowed)