Image Compression Revolutionized by Pre-trained Diffusion Models

This research explores a novel approach to image compression by leveraging the power of generative models. The use of pre-trained diffusion models for preprocessing suggests a potential paradigm shift in how we approach image data reduction.

• •Explores the use of generative models, specifically diffusion models, for image compression.
• •Utilizes pre-trained models, potentially reducing training requirements and improving efficiency.
• •Represents a novel preprocessing technique for image data, potentially improving compression rates and image quality.