Datasets › PIE-Bench
PIE-Bench (Prompt-based Image Editing Benchmark)
PIE-Bench comprises 700 images featuring 10 distinct editing types. Images are evenly distributed in natural and artificial scenes (e.g., paintings) among four categories: animal, human, indoor, and outdoor. Each image in PIE-Bench includes five annotations: source image prompt, target image prompt, editing instruction, main editing body, and the editing mask. Notably, the editing mask annotation (indicating the anticipated editing region) is crucial in accurate metrics computations as we expect the editing to only occur within a designated area.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Text-based Image Editing | PIE-Bench | KV-Edit Background PSNR 35.87 | KV-Edit: Training-Free Image Editing for Precise... | Xilluill/KV-Edit | 18 | Compare |
Papers archive 2025-07-28
12 shown of 12 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 23. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
https://docs.google.com/document/d/1K7pjAgGwS8-lsA-D6Me4jAKmYszKpcyydiAEyZuTm2I/edit?usp=sharing
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- PIE-Bench
1 variant name, as the archive lists them.
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