Deep Learning for Content Creation Tutorial

superslowmo munit GauGAN

Goal of the tutorial

Content creation has several important applications ranging from virtual reality, videography, gaming, and even retail and advertising. The recent progress of deep learning and machine learning techniques allows to turn hours of manual, painstaking content creation work into minutes or seconds of automated work. This tutorial has several goals. First, it will cover some introductory concepts to help interested researchers from other fields get started in this exciting new area. Second, it will present selected success cases to advertise how deep learning can be used for content creation. More broadly, it will serve as a forum to discuss the latest topics in content creation and the challenges that vision and learning researchers can help solve.

Organizers:

Deqing Sun, Ming-Yu Liu, Orazio Gallo, and Jan Kautz

Date, time, and location:

See you on Sunday June 16th at 8:45 in room 204.

News

Tentative program

Talk Title Speaker
8:45 - 9:00 Opening words by the organizers
9:00 - 9:45 Paired and Unpaired Image Translation with GANs Phillip Isola
9:45 - 10:10 Improving Image Translation (Tentative) James Tompkin
10:10 - 10:25 Coffee break (15m)
10:25 - 10:50 Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolationa> Deqing Sun
10:50 - 11:15 FUNIT: Few-Shot Unsupervised Image-to-Image Translation Ming-Yu Liu
11:15 - 11:40 A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras
11:40 - 12:05 Meta-Sim: Learning to Generate Synthetic Datasets Sanja Fidler
12:05 - 13:20 Lunch break (1h 15m)
13:20 - 13:45 GauGAN: Semantic Image Synthesis with Spatially Adaptive Normalization Taesung Park
13:45 - 14:10 Style Transfer: Application to Photos and Paintings Sylvain Paris
14:10 - 14:35 vid2vid: Video-to-Video Synthesis Ting-Chun Wang
14:35 - 14:50 Coffee break (15m)
14:50 - 15:15 Visualizing and Understanding GANs Jun-Yan Zhu
15:15 - 15:40 Content Creation by Inserting Objects Sifei Liu and Donghoon Lee
15:40 - 16:05 Recent Advances in Neural and Example-based Stylization Eli Shechtman
16:05 - 16:20 Coffee break (15m)
16:20 - 17:30 Panel discussion with Phillip Isola,
Jun-Yan Zhu, and James Tompkin