Abstract
Image translation plays a significant role in realistic image synthesis, entertainment tasks such as editing and colorization, and security including personal identification. In Edge GAN, the major contribution is attribute guided vector that enables high visual quality content generation. This research study proposes automatic face image realism from freehand sketches based on Edge GAN. We propose a density variant image synthesis model, allowing the input sketch to encompass face features with minute details. The density level is projected into non-latent space, having a linear controlled function parameter. This assists the user to appropriately devise the variant densities of facial sketches and image synthesis. Composite data set of Large Scale CelebFaces Attributes (ClebA), Labelled Faces in the Wild (LFWH), Chinese University of Hong Kong (CHUK), and self-generated Asian images are used to evaluate the proposed approach. The solution is validated to have the capability for generating realistic face images through quantitative and qualitative results and human evaluation.
Highlights
PAKISTAN as an underdeveloped country is facing a lot of challenges such as exponential growth of population, ever-decreasing rate of economic growth and current waves of crimes, etc
Considering our local environment we have enhanced this data of 0.2 million im-ages with 12 thousand images from the local Pakistani community
We have developed a hybrid system for improving the robustness of face recognition technology
Summary
PAKISTAN as an underdeveloped country is facing a lot of challenges such as exponential growth of population, ever-decreasing rate of economic growth and current waves of crimes, etc. Metropolitan cities i.e., Lahore, Karachi, and Islamabad are concentrated with a major ratio of population. This further weakens the planning infrastructures of government agencies. These cities are concentrated with migrating people, who abruptly find a deficiency of social laws and feel curious to violate established laws for social control. This situation leads to an exponential increase in poverty and unemployment, which are prime factors for the increased rate of crimes
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