In an era of increasing privacy concerns for our online presence, we propose
that the decision to appear in a piece of content should only belong to the
owner of the body. Although some automatic approaches for full-body
anonymization have been proposed, human-guided anonymization can adapt to
various contexts, such as cultural norms, personal relations, esthetic
concerns, and security issues. ''My Body My Choice'' (MBMC) enables physical
and adversarial anonymization by removal and swapping approaches aimed for four
tasks, designed by single or multi, ControlNet or GAN modules, combining
several diffusion models. We evaluate anonymization on seven datasets; compare
with SOTA inpainting and anonymization methods; evaluate by image, adversarial,
and generative metrics; and conduct reidentification experiments.

在越来越多关注在线私密性的时代，我们提出内容出现与否的决定应仅由身体的主人决定。尽管已经提出了一些全身匿名化的自动方法，但人类引导的匿名化可以适应各种情境，如文化规范、个人关系、审美考虑和安全问题。"My Body My Choice"（MBMC）通过移除和交换方法实现身体和对抗匿名化，旨在进行四项任务，由单个或多个 ControlNet 或 GAN 模块设计，并结合几种扩散模型。我们对七个数据集进行了匿名化评估；与 SOTA 图像修复和匿名化方法进行了比较；通过图像、对抗和生成度量进行了评估；并进行了重新识别实验。