<p>Today I want to talk about a new paper <strong>Inpaint Anything: Segment Anything Meets Image Inpainting</strong> based on the Segment-Anything (SAM) model from Meta. The paper presents a tool called <strong>Inpaint Anything</strong>. This tool combines segmentation and image inpainting techniques, making it easier to work with images and simplifying the process of object removal and background restoration.</p>
<p><strong>Main features of Inpaint Anything:</strong></p>
<ul>
<li>Object Removal (Remove Anything)</li>
<li>Filling (Fill Anything)</li>
<li>Replacement (Replace Anything)</li>
</ul>
<p><strong>Inpaint Anything features:</strong></p>
<ul>
<li>Support for any aspect ratio</li>
<li>Support for resolutions up to 2K</li>
</ul>
<p>Inpaint Anything represents a revolutionary approach to image processing using AI, which can significantly ease the work of designers, photographers, and other professionals involved in image editing.</p>
<p>Paper: <a href="https://arxiv.org/abs/2304.06790">https://arxiv.org/abs/2304.06790</a><br>Github: <a href="https://github.com/geekyutao/Inpaint-Anything">https://github.com/geekyutao/Inpaint-Anything</a></p>;
<p>#ai #inpainting</p>
