ConceptBench
收藏arXiv2025-09-30 收录
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https://github.com/SHI-Labs/Forget-Me-Not
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资源简介:
该数据集名为ConceptBench,是一个专门用于评估文本到图像模型在记忆和遗忘特定概念方面能力的基准测试。它将概念分为三大类:身份、物体和风格。具体来说,身份类别包括人物、系列等;物体类别涵盖各种食物、动物等;而风格类别则涉及如梵高和毕加索等艺术风格。该数据集的任务是评估文本到图像扩散模型在概念记忆与遗忘方面的表现。
The dataset named ConceptBench is a benchmark specifically designed to evaluate the capability of text-to-image models to memorize and forget specific concepts. It categorizes concepts into three major classes: identity, object, and style. Specifically, the identity category includes figures, series, and similar entities; the object category covers various foods, animals, and other items; while the style category involves art styles such as those of Van Gogh and Picasso. The core task of this dataset is to assess the performance of text-to-image diffusion models in terms of concept memorization and forgetting.



