AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

UCF CRCV via YouTube Direct link

Experiments - Evaluation • Inception score

12 of 16

12 of 16

Experiments - Evaluation • Inception score

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AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

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  1. 1 Intro
  2. 2 Problem: Text-to-image
  3. 3 Related work
  4. 4 Architecture - Motivation
  5. 5 Architecture - Text Encoder
  6. 6 Architecture - Conditioning Augmentation
  7. 7 Architecture - Generator F.
  8. 8 Architecture - Attention network Fatin
  9. 9 Architecture - Image Encoder
  10. 10 Architecture - DAMSM loss
  11. 11 Experiments - Datasets
  12. 12 Experiments - Evaluation • Inception score
  13. 13 Experiments - Component Analysis
  14. 14 Experiments - Qualitative (CUB)
  15. 15 Experiments - Novel scenarios
  16. 16 Experiments - Failure cases Did not capture global coherent structure

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