Deep learning model optimization in creative generation for new media animated ads

Abstract This study delves into the application of deep learning models based on improved Generative Adversarial Networks (GANs) and Variable Auto-Encoders (VAEs) for creative generation of animated advertisements in new media. By constructing an effective optimization model framework, the study sig...

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Главный автор:	Manlu Kong
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2025-06-01
Серии:	Discover Artificial Intelligence
Предметы:	Deep learning Generative adversarial networks (GANs) Variational autoencoders (VAEs) New media advertising Creative generation
Online-ссылка:	https://doi.org/10.1007/s44163-025-00354-1
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