Denoising Diffusion Implicit Models (DDIM) is one of the first samplers for solving diffusion models. It is based on the idea that the image at each step can be approximated by adding the following three components.
Final image
Image direction pointing to the image at the current step
Random noise
How do we know the final image before we get to the last step? The DDIM sampler approximates it with the denoised image. Similarly, the image direction is approximated by the noise estimated by the noise predictor.
Was this article helpful?
That’s Great!
Thank you for your feedback
Sorry! We couldn't be helpful
Thank you for your feedback
Feedback sent
We appreciate your effort and will try to fix the article