stem/AI/Neural Networks/CNN/GAN/CycleGAN.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

450 B

Cycle Consistent GAN

  • G
    • x \rightarrow y
  • F
    • y \rightarrow x
  • Aims to bridge gap across domains
    • Zebras-horses
    • Audi-BMW
  • Learn bidirectional mapping function
  • Transitivity regularises training
  • x \rightarrow y'
    • y' \rightarrow x''
      • x == x''
      • Cycle consistency
  • Requires two datasets
    • One for each domain
    • Not directly paired
      • Unlike edge map \rightarrow bag

!cyclegan.png !cyclegan-results.png