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How are two completely different models from different groups, converging on what looks like the exact same person? Number 1 and 3 are eerily similar. I don't
by celestialcheese 3y ago
How are two completely different models from different groups, converging on what looks like the exact same person? Number 1 and 3 are eerily similar. I don't understand.
- passion__desire 3y agohttps://nonint.com/2023/06/10/the-it-in-ai-models-is-the-dataset/ https://nonint.com/2023/06/10/the-it-in-ai-models-is-the-dat...
- isoprophlex 3y agoThat's an incredibly interesting observation. Thanks for sharing.
- jeffbee 3y agoIt's because the only thing these models can do is rip off existing images, and the prompt is very specific. "Generative AI" is a learned, lossy compression codec. You should not be surprised that the range of outputs for a given input seems limited.
- celestialcheese 3y agoThat makes sense - but in Google's case, I'd expect them to have access to private datasets that would give it something different than public models like SD.
- andybak 3y agohttps://news.ycombinator.com/item?id=38633910 https://news.ycombinator.com/item?id=38633910
- astrange 3y agoBecause the central limit theorem applies to web-trained image models.
- jsnell 3y agoI think you might be misunderstanding. The GP did three runs using one model, each with the same prompt that was used for the Imagen demo image. The outputs are images 1, 3 and 4. Hence the similarity.
- knodi123 3y agoBecause imgur scrambled the order during upload. /facepalm