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Hat

xpixelgroup

AI model preview image
The Activating More Pixels in Image Super-Resolution Transformer (AMPIST) is a model that aims to improve the quality of super-resolution images. It does this by effectively leveraging the self-attention mechanism in transformer networks, which helps to capture dependencies between pixels in an image. The model incorporates a pixel-wise feature transformer that generates attention maps for each pixel, allowing for more accurate and context-aware information aggregation. Experimental results show that AMPIST outperforms previous state-of-the-art models in terms of improving the perceptual quality and sharpness of super-resolution images.

Use cases

The AMPIST model has several potential use cases in the field of computer vision and image processing. One possible application is in the enhancement of low-resolution images, particularly in fields such as medical imaging or surveillance where visual clarity is crucial. By utilizing the self-attention mechanism and pixel-wise feature transformer, AMPIST can generate high-quality super-resolution images with improved perceptual quality and sharpness. Another potential use case is in the restoration of degraded or damaged images, such as old photographs or historical documents. The model's ability to capture dependencies between pixels and generate context-aware attention maps can help to restore missing or damaged details, resulting in clearer and more accurate representations. Additionally, the improved image quality provided by AMPIST opens up possibilities in areas such as digital art, where artists can create high-resolution artwork from low-resolution sketches or images. Overall, the AMPIST model has the potential to be incorporated into various products and practical solutions, ranging from image editing software to medical imaging technologies.

Pricing

Cost per run
$0.01045
USD
Avg run time
19
Seconds
Hardware
Nvidia T4 GPU
Prediction

Creator Models

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Overview

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PropertyValue
Creatorxpixelgroup
Model NameHat
Description
Activating More Pixels in Image Super-Resolution Transformer
Tags
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv

Popularity

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PropertyValue
Runs24,032
Model Rank
Creator Rank

Cost

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PropertyValue
Cost per Run$0.01045
Prediction HardwareNvidia T4 GPU
Average Completion Time19 seconds