VibeEdit: Image Editing with Canvas Instructions
We introduce a new image editing interface that lets users place spatial marks and optional short notes directly on the image.
ProofPaper ↗
Key points
- In text-guided image editing, describing the desired change is often straightforward, but identifying the intended object or region can be cumbersome, especially when several objects look alike.
- We adapt Qwen-Image-Edit with layer-decoupled conditioning that separately encodes source images and canvas instructions for image editing.
- We train the model with region-weighted supervised fine-tuning, followed by rubric-guided reinforcement learning to improve edit completion, local edit quality, and preservation of unedited regions.
- We evaluate VibeEdit on an independently constructed, human-curated benchmark of 419 cases emphasizing target selection among similar objects.
Sources (2)
- [1]VibeEdit: Image Editing with Canvas InstructionsHugging Face Daily Papers · Oct 8, 12:00 AM
We introduce a new image editing interface that lets users place spatial marks and optional short notes directly on the image.
In text-guided image editing, describing the desired change is often straightforward, but identifying the intended object or region can be cumbersome, especially when several objects look alike.
- [2]VibeEdit: Image Editing with Canvas InstructionsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 04:15 PM · same content
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