Datasets › GIE-Bench
GIE-Bench
GIE-Bench is a benchmark designed to evaluate text-guided image editing models across two critical dimensions:
Functional correctness — assessed via VQA-style multiple-choice questions Content preservation — evaluated through object-aware masking and image similarity It includes over 1,000 high-quality editing examples across 20 categories and 9 edit types, with masks, instructions, and questions.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
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Variants archive 2025-07-28
- GIE-Bench
1 variant name, as the archive lists them.
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