TF-GAN

TF-GAN leverages Python-specific patterns and idioms, which can be challenging for developers unfamiliar with the language.

While TF-GAN simplifies basic GAN training, implementing more complex or novel GAN architectures requires significant custom coding and deep understanding of TensorFlow internals.

TF-GAN provides utilities but does not automate performance optimizations such as GPU acceleration setup, which can lead to suboptimal model training times.

The official documentation is sparse on practical applications and detailed tutorials, making it harder for developers to understand how to apply TF-GAN in complex scenarios.