LatComp (Latent Compression)

LatComp compression uses an AI model (VAE) and some custom code & math to compress images into a small, reversible format.

This work was inspired by Jeremy Howard and Jonathan Whitaker of fast.ai and answer.ai.
While taking the fast.ai course, I was learning about Variational Autoencoders (VAE) and began to wonder:
Is it possible to represent the latent space as an image, and then reconstruct the original image from that representation?

Compression Comparison: A 338 KB image compressed using various methods.


Size (KB)	338	11	35	66	92	107	214	271	338

Note: Lossless compression means the original image can be perfectly reconstructed.

Use Cases:

Save storage space
Faster file transfers
Backups & archives

Potential Improvements:

Better/Faster AI model (VAE)
Replace custom code & math with an AI model
All-in-one AI Model

Compress your image into a small and reversible format.

Images bigger than 512x512 will be resized to reduce GPU memory usage.

Image

Latcomp