yang-song/score_sde_pytorch

How to calculate the score of a new unseen datapoint by a score based diffusion model?

rajoy99 opened this issue · 0 comments

I have a pretrained score based diffusion model trained on 64X64 images. Now I want to calculate the score of a new image(of same dimension) through this pre-trained neural network.

The score network takes two inputs :

  1. x_t : Sample at timestamp t
  2. t : timestamp
    How should I calculate the score of a new image via this pre-trained neural network ?