"A generalized novel image forgery detection method using generative ad" by Preeti Sharma, Manoj Kumar et al.
GANs (Generative Adversarial Networks) are widely employed in many domains of science and technology. They have produced high-resolution, photo-realistic faces that appear real to the human eye. However, recognizing these images is becoming increasingly difficult. This study introduces a new GAN ensemble model that is intended to improve GAN training issues (Mode Collapse and Convergence) and generate knowledge from diverse input samples. The proposed model is built using multiple CNN discrimina...
Gans Generative Adversarial Networks Generative Adversarial Networks Mode Collapse Structural Similarity Index Metric Total Computational Time Deep Fakes
Source: uow.edu.au