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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Hlavní autor:	Manlu Kong
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2025-06-01
Edice:	Discover Artificial Intelligence
Témata:	Deep learning Generative adversarial networks (GANs) Variational autoencoders (VAEs) New media advertising Creative generation
On-line přístup:	https://doi.org/10.1007/s44163-025-00354-1
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