Experimental opinionated aesthetic score models. See GitHub for more info

CityAesthetics - Anime

Training/inference code | Live Demo

Intentional biases

  • Completely negative towards real life photos (ideal score of 0%)
  • Strongly Negative towards text (subtitles, memes, etc) and manga panels
  • Fairly negative towards 3D and to some extent 2.5D images
  • Negative towards western cartoons and stylized images (chibi, parody)

Issues

  • Tends to filter male characters due to being underrepresented in the training set
  • Requires at least 1 subject to be present in the image - doesn't work for scenery/landscapes
  • Noticeable positive bias towards anime characters with animal ears
  • Hit-or-miss with AI generated images due to style/quality not being correlated
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