U-Shaped Transformer for Image Restoration
时间: 2023-11-15 17:38:54 浏览: 159
U-Shaped Transformer for Image Restoration is a deep learning model that is used for image restoration tasks such as image denoising, super-resolution, and inpainting. It is based on the Transformer architecture, which was originally developed for natural language processing tasks.
The U-Shaped Transformer architecture consists of two main components: an encoder and a decoder. The encoder takes an input image and compresses it into a lower-dimensional representation, while the decoder takes this compressed representation and generates the restored image.
The U-Shaped Transformer architecture also includes skip connections between the encoder and decoder. These skip connections allow the model to capture both low-level and high-level features of the input image, which can improve the quality of the restored image.
Overall, the U-Shaped Transformer for Image Restoration is a powerful deep learning model that has shown promising results in a variety of image restoration tasks.
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