Application of the neuronal networks architecture (cgans) to generate images of facades using the PIX2PIX Model.
Keywords:
Neural Networks, Information, companies, Machine Learning Models, cGans Architecture, pix2pix Model.Abstract
The problem to be solved in this research is the efficient use of neural networks. The growing use of information technology means that companies store large amounts of information that are generally not used, either due to lack of knowledge of its value or of the techniques to be able to take advantage of it.
With techniques such as neural networks, not only can the future of a company be inferred and predicted over time, but it could also create machine learning models to optimize specific functions and improve the quality of products.
The use of the cGans architecture and the pix2pix model allows solving multiple problems that will be mentioned throughout this research.
References
Bertrand gondouin. https://twitter.com/ bgondouin/status/818571935529377792. Accessed, 2017-04-21.
Brannon dorsey. https://twitter.com/ brannondorsey/status/806283494041223168. Accessed, 2017-04-21.
Christopher hesse. https://affinelayer.com/ pixsrv/. Accessed: 2017-04-21.
Gerda bosman, tom kenter, rolf jagerman, and daan gosman. https://dekennisvannu.nl/site/artikel/ Help-ons-kunstmatige-intelligentie-testen/ 9163. Accessed: 2017-08-31.
Jack qiao. http://colormind.io/blog/. Accessed: 2017-04-21.
Kaihu chen. http://www.terraai.org/ imageops/index.html. Accessed, 2017-04- 21.
Mario klingemann. https://twitter.com/ quasimondo/status/826065030944870400. Accessed, 2017-04-21.
Memo akten. https://vimeo.com/260612034. Accessed, 2018-11-07
A. Buades, B. Coll, and J.-M. Morel. A non-local algorithm for image denoising. In CVPR, 2005.
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. Semantic image segmentation with deep convolutional nets and fully connected crfs. In ICLR, 2015.
T. Chen, M.-M. Cheng, P. Tan, A. Shamir, and S.-M. Hu. Sketch2photo: internet image montage. ACM Transactions on Graphics (TOG), 28(5):124, 2009.
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele. The cityscapes dataset for semantic urban scene understanding. In CVPR, 2016.
E. Denton, S. Chintala, A. Szlam, and R. Fergus. Deep generative image models using a laplacian pyramid of adversarial networks. In NIPS, 2015.
C.Doersch,S.Singh,A.Gupta,J.Sivic,andA.Efros. What makesparislooklikeparis? ACMTransactionsonGraphics, 31(4), 2012.
A. Dosovitskiy and T. Brox. Generating images with perceptual similarity metrics based on deep networks. In NIPS, 2016.
A. A. Efros and W. T. Freeman. Image quilting for texture synthesis and transfer. In SIGGRAPH, 2001.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Brian Santeliz.
This work is licensed under a Creative Commons Attribution 4.0 International License.
