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Explore a comprehensive walkthrough of the ProGAN (Progressive Growing of GANs) paper in this 32-minute video lecture. Delve into key concepts such as progressive growing, MiniBatch Standard Deviation, fading in new layers, and normalization techniques like PixelNorm and Equalized Learning Rate. Gain insights into implementation details and results of this innovative approach to generating high-quality images. Follow along with timestamps for easy navigation through topics including the overview, specific techniques, and practical considerations for implementing ProGAN.
Syllabus
- Introduction
- Overview
- Progressive growing
- MiniBatch Std
- Fading in new layers
- Normalization PixelNorm & Eq. LR
- Some results
- Implementations details
- Ending
Taught by
Aladdin Persson