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Title:Interaktivno modeliranje terena z nevronskimi mrežami
Authors:Novak, Robi (Author)
Strnad, Damjan (Mentor) More about this mentor... New window
Kohek, Štefan (Co-mentor)
Files:.pdf UN_Novak_Robi_2018.pdf (1,29 MB)
 
.zip UN_Novak_Robi_2018.zip (2,90 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo implementirali generiranje terena z globokim učenjem. V ta namen smo uporabili pogojno generativno nasprotovalno mrežo (angl. conditional generative adversarial network) za tvorbo slike terena iz skic, kjer so označeni poteki vrhov in dolin. Naučena mreža omogoča interaktivno modeliranje terena, tako da uporabnik dopolnjuje skico, mreža pa sliko terena sproti prilagaja uporabnikovemu vnosu. Implementirali smo tudi prostorsko vizualizacijo generiranega terena z uporabo programskega vmesnika OpenGL.
Keywords:generiranje terena, modeliranje terena, nevronske mreže
Year of publishing:2018
Publisher:R. Novak
Source:[Maribor
UDC:004.032.26(043.2)
COBISS_ID:21859606 Link is opened in a new window
NUK URN:URN:SI:UM:DK:OQOSR8KP
License:CC BY-NC-ND 4.0
This work is available under this license: Creative Commons Attribution Non-Commercial No Derivatives 4.0 International
Views:362
Downloads:85
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Interactive terrain modeling with neural networks
Abstract:In our work, we have implemented terrain generation using deep learning. We have applied conditional generative adversarial networks to terrain synthesis from ridge and valley sketches. A trained network allows for interactive terrain modeling where the user completes the sketch, while the network adjusts the terrain to the user's input. We also implemented a spatial visualization of generated terrain using OpenGL.
Keywords:terrain generation, terrain modeling, neural networks


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