Google’s Novel Lossy Compression Method Targets Perfect Realism with Only a Single Diffusion Model | Synced

In the new paper Lossy Compression with Gaussian Diffusion, a Google Research team presents DiffC, a novel and simple lossy compression method that relies only on an unconditionally trained diffusion generative model and achieves state-of-the-art image compression results despite lacking an encoder transform.