Denoising Diffusion Probabilistic Models Algorithm 1 Training Algorithm 2 Sampling 1:repeat 1:xr~W(0,I) 2:x0~q(x0) 3:Uniform({1,...,T]) 2:fort=T;...,1 do 4: e~W(0,I) 3:z N(0,I)ift 1,elsez=0 5:Take gradient descent step on 4: x-1=点(x-器(x,)+z Volle-Eo(vaixo+VI-aie,t)l2 5:end for 6:until converged 6:return xo 暗藏玄機！Denoising Diffusion Probabilistic Models 暗藏玄機!