[AI Seminar] Online AI Seminar on Sep 29 (Zoom) -- Victor Lempitsky -- Deep Generative Models for Avatars and Landscapes -- AI seminar is sponsored by Fortive.

[Aayush Bansal]

Victor Lempitsky (Samsung) will be giving an online seminar on "Deep
Generative Models for Avatars and Landscapes" from *12:00 noon - 01:00 PM
ET* on Sep 29.

*Zoom Link*:
https://cmu.zoom.us/j/99758211058?pwd=VElWMWdEVFJPdjY5R2xiWlBFdjFoZz09

CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title: *Deep Generative Models for Avatars and Landscapes

*Abstract: *Deep Generative Models, in particular those based on
adversarial learning, have achieved remarkable results at synthesizing and
editing 2D photographs. In this talk, I will discuss how a very successful
model of this class (StyleGAN) can be extended to two new domains. First, I
will discuss an extension that allows to model realistic landscape
timelapse videos. After training, the system can synthesize new landscape
videos. The resulting model can also reenact static landscape photographs,
and we show that such reenactments outperform previous approaches to this
task. The second extension allows to model the full-body appearance of
humans. Here, we combine StyleGAN with a modern deformable body model
(SMPL-X) and a neural rendering approach into a system that can synthesize
3D full-body avatars from scratch or create such avatars from one or a few
photographs.



*Bio*: Victor Lempitsky leads the Samsung AI Center in Moscow as well as
the Vision, Learning, Telepresence (VIOLET) Lab at this center. He is also
an associate professor at the Skolkovo Institute of Science and Technology
(Skoltech). In the past, Victor was a researcher at Yandex, at the Visual
Geometry Group (VGG) of Oxford University, and at the Computer Vision group
of Microsoft Research Cambridge. He has a Ph.D. ("kandidat nauk") degree
from Moscow State University (2007).  Victor's research interests are in
various aspects of computer vision and deep learning, in particular,
generative deep learning. He has served as an area chair for top computer
vision and machine learning conferences (CVPR, ICCV, ECCV, ICLR, NeurIPS)
on multiple occasions. His recent work on neural head avatars was
recognized as the most-discussed research publication of 2019 by Altmetric
Top 100 rating.


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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