[HN Gopher] Simplifying, stabilizing, and scaling continuous-tim...
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       Simplifying, stabilizing, and scaling continuous-time consistency
       models
        
       Author : tosh
       Score  : 5 points
       Date   : 2024-10-23 17:27 UTC (5 hours ago)
        
 (HTM) web link (openai.com)
 (TXT) w3m dump (openai.com)
        
       | devindotcom wrote:
       | I understand diffusion models somewhat, but I simply don't
       | understand how the actual denoising steps can be skipped in this
       | method. Like isn't the whole point of diffusion, which this uses
       | as a basis, that it must go stepwise from noise to image? Even
       | distilling a diffusion model and accelerating it, it feels crazy
       | that it could go from taking 50 steps to taking 1 or 2.
       | 
       | I've looked at a few papers but none seems to explain in simple
       | terms what is going on here. It's like saying, we made a new car
       | where you turn it on and you are at your destination. If anyone
       | has come across an accessible explanation of this approach I'd
       | love to look at it.
        
       | surprisetalk wrote:
       | Read the paper: https://arxiv.org/abs/2410.11081
        
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       (page generated 2024-10-23 23:01 UTC)