Comments (3)
首先肯定能用于排序。其次,最终得分在ImageReward的测试集上均值为0,标准差为1,可以看成近似正态分布(虽然不严格等于)。
(Here is the English version of the answer) Firstly it can definitely be used for sorting. Secondly, the final score has a mean of 0 and a standard deviation of 1 on the test set of ImageReward, which can be seen as approximately normally distributed (although not strictly equal).
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那是否存在一个阈值?高于这个阈值,认为图像生成是ok的,低于这个阈值,生成是不好的
from imagereward.
这个阈值根据使用者的实际需求和所用数据集,可以人为设定,例如你可以根据分数筛选top5%、top10%、top50%,等等。
(Here is the English version of the answer) This threshold can be set artificially depending on the actual needs of the user and the data set used, e.g. you can filter top5%, top10%, top50%, etc. based on the score.
from imagereward.
Related Issues (20)
- 关于纯图像的得分评估 HOT 3
- Training ImageReward model on different budgets HOT 5
- about mean and std HOT 3
- About embedding selection of reward model HOT 1
- Dataset download issue HOT 2
- score without prompt HOT 1
- not connection HOT 1
- Errors loading image_reward.py with SD-WEBUI HOT 7
- ReFL implement details HOT 2
- Can we train for sdxl? HOT 3
- Yet another question on standard deviation HOT 2
- Full refl_data.json for REFL HOT 1
- test custom model acc : 0.0% HOT 2
- LoRA models for ImageReward? HOT 1
- Strange training dynamics for ImageReward model. HOT 3
- a nccl problem HOT 1
- About Prompt Selection HOT 1
- cuda HOT 1
- How to understand the accuracy calculation method HOT 1
- About loading CLIPScore and BLIPScore HOT 1
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from imagereward.