📃Arxiv | 🌐Project Page | 💻Github | 📚Dataset | 📄HF Paper
We introduce Complex-Edit, a comprehensive benchmark designed to systematically evaluate instruction-based image editing models across instructions of varying complexity. To develop this benchmark, we harness GPT-4o to automatically collect a diverse set of editing instructions at scale.
Our approach follows a well-structured… See the full description on the dataset page:
https://huggingface.co/datasets/UCSC-VLAA/Complex-Edit.
