Asraa J. Saeed

IGAN: An Inception-Based Generative Adversarial Network for Multi-Scale Image Synthesis

Generative Adversarial Networks (GANs) provide a powerful framework for image synthesis, but their practical effectiveness is often limited by the interplay between high visual fidelity and stable adversarial training. Heavily parameterized GANs can improve feature representation; yet, they may also increase the risk o...