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Usage of normalizing flows to generate images of given attributes

Authors

  • Artur Kasymov
  • Daniel Dobrowolski
  • Ewelina Jamrozik
  • Przemysław Przybysz

Description

We want to use Proptypes to generate / modify images. We focused on simple images from the AO-CLEVR dataset.

Dataset

AO-CLEVr is a synthetic-images dataset created by NVIDIA. Images are created to "easy" Attribute-Object categrosies, based on the CLEVr framwork (Johnson et al. CVPR 2017).

Each object has several attributes:

  • Shape [sphere, cube, cylinder]
  • Color [red, purple, yellow, blue, green, cyan, gray, brown]
  • Size [small, large]
  • Material [rubber, metallic]
  • Random position
  • Random light

Each Shape X Color pair consists of ~7,500 images.

Dataset DF

Samples: Dataset Samples

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