Аннотация и ключевые слова
Аннотация (русский):
The field of automatic image inpainting has progressed rapidly in recent years, but no one has yet proposed a standard method of evaluating algorithms. This absence is due to the problem’s challenging nature: image-­inpainting algorithms strive for realism in the resulting images, but realism is a subjective concept intrinsic to human perception. Existing objective image-­quality metrics provide a poor approximation of what humans consider more or less realistic. To improve the situation and to better organize both prior and future research in this field, we conducted a subjective comparison of nine state-­of­-the­-art inpainting algorithms and propose objective quality metrics that exhibit high correlation with the results of our comparison.

Ключевые слова:
image inpainting, objective quality metric, quality perception, subjective evaluation, deep learning
Список литературы


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