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stem/AI/Neural Networks/CNN/FCN/Super-Resolution.md
andy 7052c8c915 vault backup: 2023-05-26 18:52:08 
Affected files:
.obsidian/graph.json
.obsidian/workspace.json
STEM/AI/Neural Networks/CNN/FCN/FCN.md
STEM/AI/Neural Networks/CNN/FCN/FlowNet.md
STEM/AI/Neural Networks/CNN/FCN/Super-Resolution.md
STEM/AI/Neural Networks/CNN/GAN/CycleGAN.md
STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md
STEM/AI/Neural Networks/CNN/GAN/GAN.md
STEM/AI/Neural Networks/CNN/GAN/cGAN.md
STEM/AI/Neural Networks/CNN/Interpretation.md
STEM/AI/Neural Networks/CNN/UpConv.md
STEM/img/am-process.png
STEM/img/am.png
STEM/img/fcn-arch.png
STEM/img/fcn-eval.png
STEM/img/fcn-uses.png
STEM/img/flownet-encode.png
STEM/img/flownet-training.png
STEM/img/flownet-upconv.png
STEM/img/flownet.png
STEM/img/super-res.png
STEM/img/superres-results.png
2023-05-26 18:52:08 +01:00

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  • Auto-encoders
    • Get same image back
  • Up-sample blurry small image classically
    • Bi-cubic
    • Encode-decode to deep sharpen
  • No ground truth
    • Unsupervised?
  • Decoder stage
    • Identical architecture to encoder !super-res.png
  • Is actually contractive/up sampling !superres-results.png