AI 공부 도전기

1. [논문 Summary] SNGAN (2018 ICLR) "Spectral Normalization for Generative Adversarial Networks"
   2022.02.27
2. [논문 Summary] VAE (2014 ICLR) "Auto-Encoding Variational Bayes"
   2022.02.20
3. [논문 Summary] Neural Style Transfer (2016 CVPR) "Image Style Transfer Using Convolutional Neural Networks"
   2022.02.09
4. [논문 Summary] 2017 NIPS (Transformer) "Attention is all you need" (Transformer) Summary
   2021.08.29
5. [논문 Summary] 2017 ICCV "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
   2021.08.09
6. SPSAGAN - Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network 요약
   2021.05.17
7. Relativistic GAN Summary & Experiment (Relativistic discriminator: a key element missing from standard GAN)
   2021.01.09
8. SAGAN 논문 Full Reading - Self-Attention Generative Adversarial Networks
   2020.12.02
9. StyleGAN 논문 Full Reading - A Style-Based Generator Architecture for Generative Adversarial Networks
   2020.11.24
10. ESRGAN(Enhanced Super-Resolution Generative Adversarial Network) Summary
    2020.09.30
11. Fast R-CNN Full Reading - 영상만
    2020.07.27
12. SPPNet Full Reading - 영상만
    2020.07.27
13. H-index, h 지수, h 색인이란(cf. h5-index란)
    2020.07.04
14. PGGAN(PGAN, ProGAN)논문 Full Reading - Progressive Growing of GANs For Imporved Quality, Stability and Variation
    2020.06.27
15. SRGAN 논문 Full Reading - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
    2020.06.04