Generative machine learning models for image synthesis: Advances, challenges, and future directions

Generative adversarial networks (GANs) are popular models that can learn distributions and high-dimensional data such as images, audio, and texts. While these models have high representational capacity, training them can be difficult. Mode collapse, non-convergence, sensitivity to hyperparameters, a...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Abdullah Al-Yaari, Muhammad Abdullahi, Usman Aliyu Abdullahi
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2026-06-01
Цуврал:	Machine Learning with Applications
Нөхцлүүд:	Deep learning Generative adversarial networks GANs limitations and solutions Image generation
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S2666827026000605
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!