Background removal has always been a major problem in the field of image processing. Although the existing technology has been continuously advancing, perfect solutions have not yet emerged. remove.bg has always been in the lead as an excellent cutout tool. However, the recent emergence of the open source software RMBG 2.0 provides users with a free option comparable to remove.bg. This article will conduct a detailed analysis of the performance, characteristics and application scenarios of RMBG 2.0 and compare it with remove.bg.
Although artificial intelligence is developing rapidly now, image processing technology is also constantly upgrading. But background removal has always been one of the most challenging problems in image processing tasks.
At present, when you are cutting pictures, the real thing is to remove.bg, which is fast and good.
And now, there is finally an open source software with a picture-cutting ability that is comparable to remove. The recently released RMBG2.0 cutout effect of the Bria team is amazing.
Compared with the previous generation of RMBG1.4, the new version has achieved significant improvements in multiple core areas. RMBG2.0 integrates advanced semantic segmentation, improved edge detection technology, and maintains greater consistency when processing similar images, especially when dealing with complex backgrounds.
This new generation of open source background removal tool based on BiRefNet architecture has achieved an astonishing performance of 90.14% in terms of overall success rate. Especially when processing realistic images, its accuracy rate is as high as 92%.
Even in the face of complex background scenarios, the tool can still maintain 87% excellent performance and demonstrate strong technical strength.
AIbase uploaded a picture of a little panda and found that RMBG2.0 can cut this hairy body very cleanly, and the hair on the edges is clearly visible:
For pictures like this, where characters and backgrounds are highly integrated and the edges are not easy to distinguish, it can also easily distinguish the foreground and background, and complete high-quality cutouts:
It is also very easy to pick up pictures of this kind of anime, especially the location of the hair is very clean:
The most important thing is that it can directly download large high-definition images for free. Basically, the size of the picture you upload is, and the size you download is. It is a fee to download high-definition large pictures with remove, and the price is not cheap.
However, compared to remove, the disadvantage of RMBG2.0 is that it does not provide brush smear or secondary editing, which leads to the situation where there are many characters in the picture, and it is not clean and cannot be edited or modified:
But after all, it is free, and the cutout effect of RMBG2.0 is already very OK.
This model can be applied in the following scenarios:
E-commerce product visualization
Marketing content automation
Batch image processing
Game Asset Development
Website construction automation
If you are interested, click here to experience: https://huggingface.co/spaces/briaai/BRIA-RMBG-2.0
In short, RMBG 2.0 is a free and efficient open source cutout tool that performs well in many scenarios, especially suitable for users who need batch processing and high-definition images. Although it lacks some advanced editing capabilities, its excellent cutout is enough to make up for this shortcoming. Interested friends may wish to give it a try.