Added the notebook and weights for the PgIC (Progressive Image Compression) conv autoencoder#8
Open
05kashyap wants to merge 20 commits into
Open
Added the notebook and weights for the PgIC (Progressive Image Compression) conv autoencoder#805kashyap wants to merge 20 commits into
05kashyap wants to merge 20 commits into
Conversation
…e Image Compression with new bottleneck compression layers.
…ve Image Compression with new bottleneck compression layers.
Organized directories and added some documentation
Added the new dataset training scripts
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Improvements
Image Restoration Improved
The SSIM was improved to 90.4% (up 10%) to give virtually indistinguishable restorations
Colour images now support better compression
Compression Ratio Improved
The compression ratio was improved from 0.5 to 0.25 with little reconstruction loss
Model Architecture
Added a better bottleneck layer and residual information
Files Added
-PgIC_AutoEncoder_256x.ipynb notebook
-PgICEncoder and Decoder