[HN Gopher] MyTimeMachine: Personalized Facial Age Transformation
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       MyTimeMachine: Personalized Facial Age Transformation
        
       Author : surprisetalk
       Score  : 25 points
       Date   : 2024-11-28 13:43 UTC (5 days ago)
        
 (HTM) web link (mytimemachine.github.io)
 (TXT) w3m dump (mytimemachine.github.io)
        
       | advael wrote:
       | I think the claims here are kinda weak, not gonna lie. It's
       | unclear to me that this means of adding case-by-case additional
       | conditioning data to improve results is particularly novel or
       | effective compared to the popular StyleGAN-based attribute walk
       | the overall approach is based on (Though as a side note it's
       | definitely fun to see this kind of thing again after it's fallen
       | out of favor in recent years with all the attention large
       | foundation models have been getting in the generative space), and
       | as a machine learning result, as far as I can tell this is kind
       | of just saying "if you have additional highly-relevant data you
       | can slightly overfit your model to cover a specific case better"
       | 
       | Is there something I'm missing here?
        
       | puttycat wrote:
       | The "Dreambooth" results seem much better than the authors'.
        
         | jebarker wrote:
         | Really? The Dreambooth results don't seem to have really
         | changed the input image. The age change from the paper looks
         | better to me but not accurate to reality.
        
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       (page generated 2024-12-03 23:00 UTC)