Author : A S Navyashree 1
Date of Publication :20th July 2022
Abstract: Generative adversarial networks are mostly related to structural networks that are using two neural networks, pitting one against the other in order to generate unique output, artificial instances of data that can pass for concrete data. We can look into the applications of the model specifically used in media generation. GAN networks can be used to solve many problems such as creating new identities,immetators,or Many creative NFTs. With the help of GANs we can create a unique person image i.e AI generated human or 3D model which can be used to develop in games. These are being widely used in a project called open dalle AI. This innovative project has created NFTs generated art like an astronaut riding a horse in space merging two different environments. GANs can help detect real or fake images. Like Facebook meta tools we can click any image and convert it into a 3D model or use it for personalized GIFs or emojis.
- https://spiral.imperial.ac.uk/bitstream/10044/1/84858/2/Accep ted_Manuscript_Clean_Version.pdf
- https://www.ijcaonline.org/archives/volume182/number22/30 062-2018918039