Browse State-of-the-Art › Image Editing
Image Editing
8 papers with code · 2 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ImgEdit-Data (9 rows) | BAGEL-NHR-EDIT | NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining | — | — | Compare |
| GEdit-Bench-EN (3 rows) | BAGEL-NHR-EDIT | NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
5 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
8 shown of 8 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
17 Nov 2022 6 repositories listed Syntology ran 15 of 20 samples · 5 unverifiedWe propose a method for editing images from human instructions: given an input image and a written instruction that tells the model what to do, our model follows these instructions to edit the image.
-
3 Jun 2025 2 repositories listedAlthough existing unified models achieve strong performance in vision-language understanding and text-to-image generation, they remain limited in addressing image perception and manipulation -- capabilities increasingly…
-
26 May 2025 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)To ensure the data quality, we employ a multi-stage pipeline that integrates a cutting-edge vision-language model, a detection model, a segmentation model, alongside task-specific in-painting procedures and strict…
-
20 May 2025 2 repositories listed Syntology ran 9 of 21 samples · 12 unverifiedUnifying multimodal understanding and generation has shown impressive capabilities in cutting-edge proprietary systems.
-
17 Jun 2024 2 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)In scenarios where language models must incorporate new information efficiently without extensive retraining, traditional fine-tuning methods are prone to overfitting, degraded generalization, and unnatural language…
-
24 Apr 2025 1 repository listed Syntology ran 4 of 4 samples · 0 unverifiedIn recent years, image editing models have witnessed remarkable and rapid development.
-
7 Jul 2024 1 repository listed Syntology ran 10 of 17 samples · 7 unverified · 17 pointer-only (licence)This paper presents UltraEdit, a large-scale (approximately 4 million editing samples), automatically generated dataset for instruction-based image editing.
-
16 Jun 2023 1 repository listedTo address this issue, we introduce MagicBrush (https://osu-nlp-group.
Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections