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>> From FAQs: “we are using both diffusion models and GANs in combination with an extensive filtering and quality assessment pipeline that allows us to generate
by O__________O 4y ago
>> From FAQs: “we are using both diffusion models and GANs in combination with an extensive filtering and quality assessment pipeline that allows us to generate photorealistic images at scale.”
For every image that reaches the site, how many were generated that were filtered out by the pipeline? For example, for every photo that reaches site, 1000 were generated but did not pass the quality assessment pipeline.
- MasterScrat 4y agoIt really depends on the subjects. For example cookies are quite forgiving - up to 30% of results are good. For things like coral or sushi we keep less than 1 in 10 (which is already much better than where we were at a few months ago!) For now we still keep a close manual look at the output, but the goal as we scale up is to fully automate this selection process. Right now we have a pipeline that ranks the outputs and we select from the top results.