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Next steps to improve SPADE + AdaIN architecture
We've converged to a SPADE + MUNIT hybrid, but we need some tricks to improve. Here are the short term ideas to try:
- [x] Gram Matrix as measure of style
- [x] Feature matching loss on global discriminator
- [ ] Give style information directly to spade (via addition, for example)
- [x] Use decaying non-binary masks for smoothing
- [ ] Use image of only water for perceptual loss
- [x] Compute perceptual loss on intersection of ground + flood mask