score_sde_pytorch
score_sde_pytorch copied to clipboard
How to calculate the score of a new unseen datapoint by a score based diffusion model?
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 :
- x_t : Sample at timestamp t
- t : timestamp How should I calculate the score of a new image via this pre-trained neural network ?