[AI Seminar] Online AI Seminar on Dec 08 (Zoom) -- Matthias Niessner -- Why Neural Rendering is getting more amazing every day! -- AI seminar is sponsored by Fortive

[Aayush Bansal]

Matthias Niessner (TUM) will be giving an online seminar on "Why Neural
Rendering is getting more amazing every day! " from 12:00 noon - 01:00 PM
ET on Dec 08.

*Zoom Link*:
https://cmu.zoom.us/j/95663250946?pwd=TkMvd0FrdTN2aVlJZ0NhK2tQY0Mxdz09


CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title*: Why Neural Rendering is getting more amazing every day!

*Abstract*: In this talk, I will present my research vision in how to
create a photo-realistic digital replica of the real world, and how to make
holograms become a reality. Eventually, I would like to see photos and
videos evolve to become interactive, holographic content indistinguishable
from the real world. Imagine taking such 3D photos to share with friends,
family, or social media; the ability to fully record historical moments for
future generations; or to provide content for upcoming augmented and
virtual reality applications. AI-based approaches, such as generative
neural networks, are becoming more and more popular in this context since
they have the potential to transform existing image synthesis pipelines. I
will specifically talk about an avenue towards neural rendering where we
can retain the full control of a traditional graphics pipeline but at the
same time exploit modern capabilities of deep learning, such as handling
the imperfections of content from commodity 3D scans.

While the capture and photo-realistic synthesis of imagery open up
unbelievable possibilities for applications ranging from entertainment to
communication industries, there are also important ethical considerations
that must be kept in mind. Specifically, in the content of fabricated news
(e.g., fake-news), it is critical to highlight and understand
digitally-manipulated content. I believe that media forensics plays an
important role in this area, both from an academic standpoint to better
understand image and video manipulation, but even more importantly from a
societal standpoint to create and raise awareness around the possibilities
and moreover, to highlight potential avenues and solutions regarding trust
of digital content.

*Bio*: Dr. Matthias Nießner is a Professor at the Technical University of
Munich where he leads the Visual Computing Lab. Before, he was a Visiting
Assistant Professor at Stanford University. Prof. Nießner’s research lies
at the intersection of computer vision, graphics, and machine learning,
where he is particularly interested in cutting-edge techniques for 3D
reconstruction, semantic 3D scene understanding, video editing, and
AI-driven video synthesis. In total, he has published over 70 academic
publications, including 22 papers at the prestigious ACM Transactions on
Graphics (SIGGRAPH / SIGGRAPH Asia) journal and 26 works at the leading
vision conferences (CVPR, ECCV, ICCV); several of these works won best
paper awards, including at SIGCHI’14, HPG’15, SPG’18, and the SIGGRAPH’16
Emerging Technologies Award for the best Live Demo.


Prof. Nießner’s work enjoys wide media coverage, with many articles
featured in main-stream media including the New York Times, Wall Street
Journal, Spiegel, MIT Technological Review, and many more, and his was work
led to several TV appearances such as on Jimmy Kimmel Live, where Prof.
Nießner demonstrated the popular Face2Face technique; Prof. Nießner’s
academic Youtube channel currently has over 5 million views.

For his work, Prof. Nießner received several awards: he is a TUM-IAS
Rudolph Moessbauer Fellow (2017 – ongoing), he won the Google Faculty Award
for Machine Perception (2017), the Nvidia Professor Partnership Award
(2018), as well as the prestigious ERC Starting Grant 2018 which comes with
1.500.000 Euro in research funding; in 2019, he received the Eurographics
Young Researcher Award honoring the best upcoming graphics researcher in
Europe. In addition to his academic impact, Prof. Nießner is a co-founder
and director of Synthesia Inc., a brand-new startup backed by Marc Cuban,
whose aim is to empower storytellers with cutting-edge AI-driven video
synthesis.


To learn more about the seminar series, please visit the website:
http://www.cs.cmu.edu/~aiseminar/


-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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