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Found 4 papers, 1 papers with code
Temporally Coherent Person Matting Trained on Fake-Motion Dataset
We propose a novel neural-network-based method to perform matting of videos depicting people that does not require additional user input such as trimaps.
Deep Two-Stage High-Resolution Image Inpainting
In this article, we propose a method that solves the problem of inpainting arbitrary-size images.
Perceptually Motivated Method for Image Inpainting Comparison
The field of automatic image inpainting has progressed rapidly in recent years, but no one has yet proposed a standard method of evaluating algorithms.
Improving Video Compression With Deep Visual-Attention Models
We propose a compression method that uses a saliency model to adaptively compress frame areas in accordance with their predicted saliency.
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