The technology industry has recently welcomed a new star in the field of image processing - LBM (Latent Bridge Matching). This tool, carefully developed by the gojasper team, quickly emerges in the field of image processing with its unique technology and efficient performance. The core of LBM lies in its "potential bridge matching" technology, through which it can accurately match and transform in the latent space of the image, thereby achieving a variety of complex image editing tasks.
One of the powerful features of LBM is its outstanding object removal capability. Whether it is a passerby who accidentally enters the photo or other unwanted elements, LBM can easily remove it without leaving any trace. This feature is undoubtedly a huge boon for photographers and image editors, greatly improving work efficiency and image quality.
In addition to object removal, LBM also performed well in light adjustment. It can easily adjust the light effect in the photos according to the user's needs, making the originally dull photos look new. Whether it is turning cloudy into sunny or adjusting the three-dimensional sense of light and shadow, LBM can easily deal with it, bringing users the ultimate image processing experience.
LBM functions far more than that. It also demonstrates outstanding performance in a variety of image conversion tasks such as normal and depth estimation, object recoloring, etc. Whether it is a professional image editor or an ordinary user, LBM can meet its diverse needs and become an all-round player in the field of image processing.
The core reason why LBM is so efficient and powerful is its innovative potential bridge matching technology. This technology does not operate directly at the pixel level, but seeks and establishes associations in the latent space of the image, and achieves rapid image conversion through this potential "bridge". This novel method not only improves processing speed, but also provides technical support for achieving more complex image editing effects.
It is worth mentioning that LBM's code is open sourced on GitHub and is subject to the Creative Commons BY-NC4.0 license. This means that developers can freely use and modify LBM's code, further promoting the development of image processing technology.
Project entrance: https://top.aibase.com/tool/lbm
Online use: https://huggingface.co/spaces/jasperai/LBM_relighting