Auto-Lama combines object detection and image inpainting to automate object removals

Auto-Lama combines object detection and image inpainting to automate object removals. It is build on top of DE:TR from Facebook Research and Lama from Samsung Research. The entire process is extremely simple:

  1. Objects are detected using the detector.
  2. Masks are generated based on the bounding boxes drawn by the detector.
  3. The original image is sent to the inpainter along with the masks.

Demo

cat
buildings
park

Masking

There are currently a few ways of generating masks:

  1. Masking objects with specified indices.
  2. Masking one main object at a time.
  3. Masking all other objects other than the main object.

 

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