Recursive InPainting with Stable Difussion 2 Inpainting

The dataset contains two folders with two different experiments. Each experiment consists of performing recursive inpainting on 512x512 px images until reaching a percentage of pixels affected by the inpainting of 400% compared to the original image.

Each experiment contains the following files: original_imgs_grid.png file with all the base images in an ordered grid. mask_64x64/[number_figure]_64x64.png with the inpainting version of [number_figure] and 64x64 mask mask_128x128/[number_figure]_128x128.png with the inpainting version of [number_figure] and 128x128 mask mask_256x256/[number_figure]_256x256.png with the inpainting version of [number_figure] and 256x256 mask lpips_distances.xlsx with the results of applying the Learned Perceptual Image Path Similarity (LPIPS) metric in its variants SqueezeNet, AlexNet, and VGG.