[VFS 2019] Introduction to GANs - Pixta Vietnam
0 likes84 views
The document is an introduction to Generative Adversarial Networks (GANs) presented by Tuan Anh Vu from Pixtavietnam in October 2019. It covers developments in GAN models, sample generation, and training data, citing significant advancements over the past five years in various applications like face generation and image translation. Key references include works by Ian Goodfellow and various research papers detailing GAN evolution and specific implementations.
[VFS 2019] Introduction to GANs - Pixta Vietnam
- 1. Introduction to GANs Tuan Anh Vu, PixtaVietnam October, 2019 VFS-2019 Ref. Ian Goodfellow slides
- 2. Sample Generation Training Data (CelebA) Sample Generator (Karras et at, 2017)
- 3. 5 years of progress on faces
- 4. 2 years of progress on ImageNet
- 5. Unsupervised Image-to-image Translation (Liu et al. 2017)
- 6. Cycle GAN (Zhu et al. 2017)
- 7. Everybody Dance Now (Chan et al. 2018)
- 8. GauGAN (Park et al. 2018)
- 10. GAN model
- 12. Basic Generator
- 14. Thank you