A Denoising Diffusion Implicit Model with non-zero mean latent space 528 The forward process of a diffusion process with non-zero mean latent distribution

Assume for any t T, if Eq. (A.5) is true, the following is also true: Following the induction, the lemma is proved. WebVision comprising 2.4 million images that were crawled using Google and Flickr search engines, with the Clothing1M contains 1 million images of clothes obtained from shopping websites. As shown in Figure C.1, the network consists of a frozen The batch size is 256. The initial learning rate is set to 0.001. To demonstrate how our method can enhance a trained classifier's performance by using its features as conditional The experimental results shown in Figure D.1 indicate that these techniques can improve test accuracy.