Google Researchers, MAXIM, MLP Based Architecture, Image Processing

Google Researchers Introduce ‘MAXIM’: Multi-Axis MLP Based Architecture For Image Processing

Google researchers have introduced a new image processing architecture called MAXIM, which stands for Multi-Axis MLP. MAXIM is based on multi-layer perceptrons (MLPs), which are a type of neural network that is known for its simplicity and efficiency.

MAXIM has two key advantages over other image processing architectures. First, it is able to capture both local and global interactions in an image. This is because MAXIM uses multiple axes, each of which focuses on a different spatial scale. Second, MAXIM is fully convolutional, which means that it can be applied to images of any size.

To achieve these advantages, MAXIM uses two main building blocks:

• Multi-axis gated MLP: This block allows MAXIM to efficiently and scalably mix local and global information. It does this by using multiple MLPs, each of which focuses on a different spatial scale.
• Cross-gating block: This block is an alternative to cross-attention, which is a commonly used technique in computer vision models. The cross-gating block accounts for cross-example mutual conditioning, which can help to improve the performance of MAXIM on image processing tasks.

In extensive experiments, the researchers showed that MAXIM achieves state-of-the-art performance on more than ten benchmarks across a range of image processing tasks, including denoising, deblurring, deraining, dehazing, and enhancement. MAXIM also requires fewer or comparable parameters and FLOPs than competitive models.

The release of MAXIM is a significant advance in the field of image processing. MAXIM has the potential to be used in a wide range of applications, such as medical imaging, satellite imagery, and photography.

Here are some of the potential applications of MAXIM:

• Medical imaging: MAXIM can be used to improve the quality of medical images, such as X-rays, MRI scans, and CT scans. This can help doctors to diagnose diseases more accurately and to develop better treatment plans.
• Satellite imagery: MAXIM can be used to improve the quality of satellite imagery. This can be used for a variety of purposes, such as monitoring environmental changes, mapping natural resources, and tracking weather patterns.
• Photography: MAXIM can be used to improve the quality of photographs. This can be used for a variety of purposes, such as taking better vacation photos, editing wedding photos, and enhancing product photos.

Overall, MAXIM is a promising new image processing architecture that has the potential to be used in a wide range of applications.