R. Anand

Stability In Gan Training: Balancing Techniques And Performance Evaluation

A critical and comparative review of ten research papers, each offering a unique solution to the core issues of GAN training instability, indicate that no single method dominates across all scenarios, but hybrid combinations lead to the best generalizability and stability under constraints like limited data, non IID settings, or real-time computation.