用户仅需点击即可精准移除图像中物体，无需描图或文字描述。
ClickRemoval: An Interactive Open-Source Tool for Object Removal in Diffusion Models
- 通过用户点击触发自注意力调制，实现对象定位与背景修复。
- 在定量指标和用户测试中表现优于传统方法，移除效果自然。
- 开源免费，适合非专业用户快速处理复杂场景图像。
现有物体移除工具通常依赖手动掩码或文本提示，在复杂场景中对非专业人士而言难以实现精确操作，常导致移除不完整或背景修复不自然。为此，我们提出 ClickRemoval，一个基于预训练 Stable Diffusion 模型的开源交互式物体移除工具，完全由用户点击驱动。无需额外训练、手绘掩码或文本描述，ClickRemoval 在去噪过程中通过自注意力调制实现目标物体定位与背景重建。实验表明，该方法在定量指标和用户研究中均达到竞争力表现。完整软件包已发布于 https://github.com/zld-make/ClickRemoval，采用 Apache-2.0 许可证开放使用。
原文摘要 · Abstract (English)
Existing object removal tools often rely on manual masks or text prompts, making precise removal difficult for non-expert users in complex scenes and often leading to incomplete removal or unnatural background completion. To address this issue, we present ClickRemoval, an open-source interactive object removal tool built on pretrained Stable Diffusion models and driven solely by user clicks. Without additional training, hand-drawn masks, or text descriptions, ClickRemoval localizes target objects and restores the background through self-attention modulation during denoising. Experiments show that ClickRemoval achieves competitive results across quantitative metrics and user studies. We release a complete software package at https://github.com/zld-make/ClickRemoval under the Apache-2.0 license.
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