SkyworkAI / SkyworkAI/UniPic

Inquiry about GPT-4.1 Rule Prompt for Image Editing GRPO Stage

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Python
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Description

Hello,
First of all, congratulations on the excellent work with UniPic2 and Skywork-EditReward — it’s truly inspiring research.
I was particularly impressed by the reinforcement learning stage for image editing, where you mention employing GPT-4.1 with carefully designed evaluation templates to provide multi-dimensional scoring (instruction-following accuracy, image quality, etc.) before training Skywork-EditReward.

I would like to kindly ask:

  1. During the GRPO (reinforcement learning) stage for image editing, did you use GPT-4.1 directly as the rule-based evaluator to provide reward signals?

  2. If possible, could you share (or point me to) the evaluation template / rule prompt you used with GPT-4.1 for scoring the generated images?

Having access to the prompt design would greatly help me and others in the community better understand and potentially reproduce the evaluation pipeline you proposed.
Thank you very much for your time and for making this valuable work available.

Best regards,

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Research direction

No repository files, tests, or entry points are identified. Review the GRPO image-editing evaluation described in the issue and determine whether GPT-4.1 was used directly and whether the evaluation template or rule prompt can be shared; done means providing those answers or relevant links.

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Assessment

Tech stack
python
Domain
computer-vision, machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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