Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Reconstruction of Missing Parts of the Face Using Neural Network
Marek, Jan ; Drahanský, Martin (oponent) ; Goldmann, Tomáš (vedoucí práce)
The goal of this thesis is to design a neural network for reconstruction of face images in which a part of the face is obscured by a mask. Concepts used in the development of convolutional neural networks and generative adversarial networks are presented. Specific concepts  used in neural networks used for face reconstruction are described. The generative adversarial network presented in this thesis combines the use of gated convolutional layers and dense multiscale fusion blocks to produce realistic reconstructions of masked face images.
Reconstruction of Missing Parts of the Face Using Neural Network
Marek, Jan ; Drahanský, Martin (oponent) ; Goldmann, Tomáš (vedoucí práce)
The goal of this thesis is to design a neural network for reconstruction of face images in which a part of the face is obscured by a mask. Concepts used in the development of convolutional neural networks and generative adversarial networks are presented. Specific concepts  used in neural networks used for face reconstruction are described. The generative adversarial network presented in this thesis combines the use of gated convolutional layers and dense multiscale fusion blocks to produce realistic reconstructions of masked face images.

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.