A Review of Generative Image Modeling Techniques

Bombuwala, Gayashan; Poravi, Guhanathan

dc.contributor.author	Bombuwala, Gayashan
dc.contributor.author	Poravi, Guhanathan
dc.date.accessioned	2020-05-25T04:19:46Z
dc.date.available	2020-05-25T04:19:46Z
dc.date.issued	2019
dc.identifier.citation	Bombuwala, G and Poravi, G (2019) ‘A Review of Generative Image Modeling Techniques’, In: 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), Pune, India. 29-31 March 2019. pp. 1 – 5. IEEE DOI: 10.1109/I2CT45611.2019.9033846	en_US
dc.identifier.uri	https://ieeexplore.ieee.org/document/9033846
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/415
dc.description.abstract	Generative image modeling is an area of research in computer vision that many works has been conducted to address various issues that has been encountered in the domain. In this paper, we categorize review several works that has been proposed for generative image modeling. The goal of this paper is to encourage the future researchers to pursue the work through the limitations of existing generative image modeling techniques.	en_US
dc.subject	Generative adversarial networks	en_US
dc.subject	Image modeling	en_US
dc.subject	Image generation	en_US
dc.subject	Computational modeling	en_US
dc.title	A Review of Generative Image Modeling Techniques	en_US
dc.type	Article	en_US