Fenglinglwb

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Average Model Cost: $0.0011

Number of Runs: 13,478

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large-hole-image-inpainting

fenglinglwb

The MAT model is a neural network-based model that can be used for large hole image inpainting. It is able to fill in large missing regions in an image by predicting the missing content based on the surrounding context. The model uses a transformer architecture along with a mask-aware mechanism to effectively handle large holes in the image. It achieves state-of-the-art performance on several benchmark datasets for image inpainting tasks.

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$0.001/run

13.5K

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