PIE-Bench++ builds upon the foundation laid by the original PIE-Bench dataset introduced by (Ju et al., 2024), designed to provide a comprehensive benchmark for multi-aspect image editing evaluation. This enhanced dataset contains 700 images and prompts across nine distinct edit categories, encompassing a wide range of manipulations:
Object-Level Manipulations: Additions, removals, and modifications of objects within the image.
Attribute-Level Manipulations:… See the full description on the dataset page:
https://huggingface.co/datasets/UB-CVML-Group/PIE_Bench_pp.
