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InvDiff: A Constant Guidance for Bias Reduction in Diffusion Models

💡 原文英文，约100词，阅读约需1分钟。

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内容提要

本研究提出了一种名为InvDiff的偏差消减框架，旨在解决扩散模型在生成高质量图像时的偏差与不平衡问题。通过新的去偏训练目标和轻量级可训练模块，InvDiff能够自动保留语义信息，生成无偏图像，同时保持图像质量。

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