Closed fubenzun closed 1 year ago
thanks for your attention. This is the fundamental principle of the diffusion process, which involves adding noise first and then employing a U-Net to predict the noise.
Comparing the method of generating images and segmentation maps using a diffusion model with the method of generating images using a diffusion model and then passing the images through a Segment Anything Model, which one is more accurate
thanks for your work. in trainng stage,why add 1 step noise to train P-decoder