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-rw-r--r--README.md1
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@@ -53,6 +53,7 @@ Ideas of mine that did not work unfortunately:
* Efficientnet was apparently a terrible choice of an encoder
- A ConvNext module heavily copied from lucidrains [x-unet](https://github.com/lucidrains/x-unet)
+ was incredibly much better at encoding the images to a better representation.
* Use VQVAE to create pre-train a good latent representation
- Tests with various compressions did not show any performance increase compared to training directly e2e, more like decrease to be honest