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ICCV 2017 Tutorial on GANs
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Schedule
Contact
ICCV 2017 Tutorial on GANs
Home
Schedule
Contact
More
Home
Schedule
Contact
Schedule and slides
22 October 2017
Speakers
9:15 Ian Goodfellow, Google Brain: Introduction [
slides (pdf)
] [
slides (keynote)
]
9:45 Mihaela Rosca, DeepMind: Autoencoder GANs [
slides (pdf)
]
10:15 Coffee break and live demo session: Jun-Yan Zhu and Taesung Park: iGAN / pix2pix / CycleGAN
11:00 Soumith Chintala, Facebook: GANs in the Wild [
slides (pdf)
]
11:30 Han Zhang, Rutgers University: Conditional GANs, StackGAN [
slides (pdf)
]
12:00 Lucas Theis, Twitter: Evaluating Generative Models [
slides (pdf)
]
12:30 Lunch
14:00 Sanjeev Arora, Princeton University : Do GANs learn the distribution? [
slides (pptx)
]
14:45 Victor Lempitsky, Skoltech: Domain Adversarial Learning [
slides (pdf)
]
15:15 Jun-Yan Zhu, UC Berkeley: Visual Synthesis and Manipulation with GANs [
slides(pdf)
] [
slides(pptx)
]
15:45 Coffee break and live demo session: Jun-Yan Zhu and Taesung Park: iGAN / pix2pix / CycleGAN
16:30 David Pfau, DeepMind: Connections between adversarial training and RL
17:00 Alexei Efros, UC Berkeley: GANs as Learned Loss Functions
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