Submitted by AutoModerator t3_10cn8pw in MachineLearning
catndante t1_j5x6k5e wrote
Hi, i have a simple question about DDPM model. I'm not so sure, but I think I have read the post saying that when T=1000, using 1,000 models will perform better but its computationally too redundant, so DDPM used same model for evert step t. Is this argument correct? If centers with huge computation does this, will the performance be better?
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