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Classroom Contents
VQ-GAN - Taming Transformers for High-Resolution Image Synthesis - Paper Explained
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- 1 Intro
- 2 A high-level VQ-GAN overview
- 3 Perceptual loss
- 4 Patch-based adversarial loss
- 5 Sequence prediction via GPT
- 6 Generating high-res images
- 7 Loss explained in depth
- 8 Training the transformer
- 9 Conditioning transformer
- 10 Comparisons and results
- 11 Sampling strategies
- 12 Comparisons and results continued
- 13 Rejection sampling with ResNet or CLIP
- 14 Receptive field effects
- 15 Comparisons with DALL-E
