Release note for Finegrain Box Segmenter v0.1 Demo If you want to give the Finegrain Box Segmenter a try, the best way to is take a look at the Finegrain Object Cutter Space we shipped on Hugging Face: it's a fun "prompt to cut out" experience that will enable you to create pixel quality and high resolution cutouts for any object in a photo, by just naming the object. Motivation While building Finegrain, we needed a way to create pixel perfect and high resolution cutouts for objects in images. We looked at off the shelf solutions, but they simply didn't work for us: On the one hand, traditional background removal models are great at producing HD cutouts, but unfortunately, different people will have different definitions for background and foreground in a given image a way to prompt these models is missing. On the other hand, new promptable approaches like SAM or SAM2 don't meet the quality bar for the use cases we are pursuing: they are generating internally a 256x256 low resolution mask with built in upscaling mechanisms that create artefacts and struggle with complex masks (a la Eiffel Tower). The Finegrain Box Segmenter avoids these pitfalls by training MVANet to be a box promp…
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