3 Result(s)
within
Kosuke Takahashi
Computer Science
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Article
Open AccessWhich is the Better Inpainted Image?Training Data Generation Without Any Manual Operations
This paper proposes a learning-based quality evaluation framework for inpainted results that does not require any subjectively annotated training data. Image inpainting, which removes and restores unwanted reg...
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Article
Open AccessImage quality assessment for inpainted images via learning to rank
This paper proposes an image quality assessment (IQA) method for image inpainting, aiming at selecting the best one from a plurality of results. It is known that inpainting results vary largely with the method...
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Article
Open AccessImage and video completion via feature reduction and compensation
This paper proposes a novel framework for image and video completion that removes and restores unwanted regions inside them. Most existing works fail to carry out the completion processing when similar regions...
