49ad23d1ec9fa4bd8d77d02681df5cfa-Supplemental.pdf
–Neural Information Processing Systems
Compute isessential tomodern machine learning applications, andmorecompute typically yields better results. It is thus important to compare our method's compute requirements to competing methods. Table 10: Training compute requirements for our diffusion models compared to StyleGAN2 and BigGAN-deep. Underreasonablesettingsforβt andT,thedistribution q(xT) is nearly an isotropic Gaussian distribution, so samplingxT is trivial. In particular, they do not directly parameterizeµθ(xt,t) as a neural network,butinsteadtrainamodel ϵθ(xt,t)topredictϵfromEquation3.
Neural Information Processing Systems
Feb-8-2026, 12:27:41 GMT
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