Papers › ReCo: Region-Controlled Text-to-Image Generation
ReCo: Region-Controlled Text-to-Image Generation
Zhengyuan Yang, JianFeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang
Recently, large-scale text-to-image (T2I) models have shown impressive performance in generating high-fidelity images, but with limited controllability, e.g., precisely specifying the content in a specific region with a free-form text description. In this paper, we propose an effective technique for such regional control in T2I generation. We augment T2I models' inputs with an extra set of position tokens, which represent the quantized spatial coordinates. Each region is specified by four position tokens to represent the top-left and bottom-right corners, followed by an open-ended natural language regional description. Then, we fine-tune a pre-trained T2I model with such new input interface. Our model, dubbed as ReCo (Region-Controlled T2I), enables the region control for arbitrary objects described by open-ended regional texts rather than by object labels from a constrained category set. Empirically, ReCo achieves better image quality than the T2I model strengthened by positional words (FID: 8.82->7.36, SceneFID: 15.54->6.51 on COCO), together with objects being more accurately placed, amounting to a 20.40% region classification accuracy improvement on COCO. Furthermore, we demonstrate that ReCo can better control the object count, spatial relationship, and region attributes such as color/size, with the free-form regional description. Human evaluation on PaintSkill shows that ReCo is +19.28% and +17.21% more accurate in generating images with correct object count and spatial relationship than the T2I model.
In Syntology View this paper on Syntology: its repositories, every harvested function with whether it ran, its licence and the call to fetch it.
Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.
Code
No code repository is listed for this paper in the archive or in Syntology's graph.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
1 archive task tag without a task page not shown.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Conditional Text-to-Image Synthesis | COCO-MIG | ReCo | instance success rate | 0.55 | #2 of 5 | Archive leaderboard | report |
| Conditional Text-to-Image Synthesis | COCO-MIG | ReCo | mIoU | 0.49 | #2 of 5 | Archive leaderboard | report |
| Layout-to-Image Generation | LayoutBench | ReCo | AP | 7.6 | #3 of 3 | Archive leaderboard | report |
| Layout-to-Image Generation | LayoutBench-COCO - Combination | ReCo | AP | 18.7 | #3 of 4 | Archive leaderboard | report |
| Layout-to-Image Generation | LayoutBench-COCO - Number | ReCo | AP | 30.9 | #2 of 4 | Archive leaderboard | report |
| Layout-to-Image Generation | LayoutBench-COCO - Position | ReCo | AP | 36.4 | #3 of 4 | Archive leaderboard | report |
| Layout-to-Image Generation | LayoutBench-COCO - Size | ReCo | AP | 24.1 | #3 of 4 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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