Open Hiilay opened 4 months ago
No, it's corrected. It corresponds to the marginal distribution q(x_t|x_0,y_0). @Hiilay
No, it's corrected. It corresponds to the marginal distribution q(x_t|x_0,y_0). @Hiilay
thanks! It's my misunderstanding.
Excuse me, one more question. What's the difference between and DDPM? e.g. GaussianDiffusion and GaussianDiffusionDDPM in models/gaussian_diffusion.py, SpacedDiffusion and SpacedDiffusionDDPM in models/respace.py Please reply! Thanks :)
I reimplemented DDPM, e.g., ***DDPM. @Hiilay
Thx for reply :) And which one scored higher and used in practice? (sry I haven't read the code throughly so far.)
Excuse me, may I ask the meaning of param 'denoise_fn' of 'p_sample_loop' in models/gaussian_diffusion.py/GaussianDiffusion? It seems to be 'None' in whole-code-wide, and the 'p_sample_loop' seems not to have been referred too. Looking forward to your reply :)
Thanks for your excellent work! It seems there is an error in https://github.com/zsyOAOA/ResShift/blob/989803abe8315c7e8c17d7d4b2c6541dc6e763f9/models/gaussian_diffusion.py#L186
variance = _extract_into_tensor(self.etas, t, x_start.shape) * self.kappa**2
should bevariance = _extract_into_tensor(self.alphas, t, x_start.shape) * self.kappa**2
according to the paper. Is my understanding incorrect? Please reply :)