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Jingyunliang

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Average Model Cost: $0.0207

Number of Runs: 5,663,791

Models by this creator

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swinir

The SwinIR model is an image restoration model that uses a Swin Transformer, which is a type of deep learning architecture, to improve the quality of degraded images. It takes a low-quality input image and produces a high-quality output image by applying various restoration techniques. The model has been trained on a large dataset of paired low-quality and high-quality images, allowing it to learn how to infer the missing or distorted details in the input image. The SwinIR model has achieved state-of-the-art performance on various image restoration tasks, such as image denoising, super-resolution, and image deblurring.

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$0.028/run

5.4M

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hcflow-sr

hcflow-sr is a model designed for image super-resolution. It takes low-resolution images as input and generates high-resolution versions of the images. This is achieved through a deep learning approach that leverages a self-attention mechanism. The model can be used to enhance the details and quality of low-resolution images, making them suitable for a wide range of applications such as image enhancement, printing, and computer vision tasks.

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$0.014/run

216.1K

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