Completed
- Introduction & Overview
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Classroom Contents
TransGAN - Two Transformers Can Make One Strong GAN - Machine Learning Research Paper Explained
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- 1 - Introduction & Overview
- 2 - Discriminator Architecture
- 3 - Generator Architecture
- 4 - Upsampling with PixelShuffle
- 5 - Architecture Recap
- 6 - Vanilla TransGAN Results
- 7 - Trick 1: Data Augmentation with DiffAugment
- 8 - Trick 2: Super-Resolution Co-Training
- 9 - Trick 3: Locality-Aware Initialization for Self-Attention
- 10 - Scaling Up & Experimental Results
- 11 - Recap & Conclusion
