اشترك بالحزمة الذهبية واحصل على وصول غير محدود شمرا أكاديميا
تسجيل مستخدم جديدImage Completion and Extrapolation with Contextual Cycle Consistency
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نشر من قبل
Sai Hemanth Kasaraneni
تاريخ النشر
2020
مجال البحث
الهندسة المعلوماتية
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English
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Image Completion refers to the task of filling in the missing regions of an image and Image Extrapolation refers to the task of extending an image at its boundaries while keeping it coherent. Many recent works based on GAN have shown progress in addressing these problem statements but lack adaptability for these two cases, i.e. the neural network trained for the completion of interior masked images does not generalize well for extrapolating over the boundaries and vice-versa. In this paper, we present a technique to train both completion and extrapolation networks concurrently while benefiting each other. We demonstrate our methods efficiency in completing large missing regions and we show the comparisons with the contemporary state of the art baseline.
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