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rnair21/Face-Edit-Bench

Face-Edit-Bench Face-Edit-Bench is a large-scale benchmark for evaluating text-guided facial image editing models. It is introduced in: A Large-scale Evaluation of Text-guided Models for Facial Editing ACMMM 2026 GitHub: https://github.com/rahul1801/Face-Edit-Bench The benchmark evaluates models on three axes — identity preservation, edit fidelity, and unintended attribute changes — with fine-grained breakdowns by demographic subgroup. Models Evaluated… See the full description on the dataset page: https://huggingface.co/datasets/rnair21/Face-Edit-Bench.

Author / organizationrnair21
License (as declared)cc-by-4.0
Downloads180 (as reported by Hugging Face)
Likes0
Created7 August 2026
Last updated at source8 August 2026
facial-editingbenchmarkidentity-preservationbiasmultimodal
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