Structurally and semantically coherent deep image inpainting

Structurally and semantically coherent deep image inpainting

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Sami, Mirza Tanzim, Khan, Ehsanul Amin, Rhidita, Ishrat Naiyer
مؤلفون آخرون:	Uddin, Jia
التنسيق:	أطروحة
اللغة:	English
منشور في:	BRAC University 2019
الموضوعات:	Image inpainting DCGAN Deep learning Differential equations, Partial. Image restoration.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/11445

مواد مشابهة

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Generating and compressing images from a large volume of discrete datasets using GANs along with different compression techniques and studying the results
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Generalized and Improved (G′/G)-Expansion Method for (3+1)-Dimensional Modified KdV-Zakharov-Kuznetsev Equation
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Multiscale methods

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An active-learning based training-schedule for biomedical image segmentation on deep neural networks
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Detecting Deepfake images using deep convolutional neural network
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