Dequantization and Color Transfer with Diffusion Models

Understand

We demonstrate an image dequantizing diffusion model that enables novel edits on natural images.

• We propose operating on quantized images because they offer easy abstraction for patch-based edits and palette transfer.
• In particular, we show that color palettes can make the output of the diffusion model easier to control and interpret.
• We first establish that existing image restoration methods are not sufficient, such as JPEG noise reduction models.