2 天前 - … due to the compression of information inherent in … Generative Adversarial
Network-based Parameter Optimization (GAN-PO) method. By leveraging a deep neural network …

10 天前 - … simulation algorithm based on improved Generative Adversarial Networks(GAN)
to … , a lightweight model is designed through model compression to significantly reduce the …

14 天前 - … Choo, “Stargan: Unified generative adversarial networks for multi-domain image-to…
Zhou, and AA Efros, “Image-to-image translation with conditional adversarial networks,” in …

17 天前 - … , the GAN network is compressed and distilled into a lightweight model using KD. …
things time series data using generative adversarial networks with attention mechanism …

18 天前 - … ), Generative Adversarial Networks (GANs), and diffusion models in the context of
compressing … weaknesses, providing insights into how humans perceive compressed images. …

18 天前 - … a space division and Wasserstein generative adversarial network with gradient
penalty (… the PDSR boundary is located, tremendously compressing the search space to locate …

19 天前 - … This study adopts the idea of a generative adversarial network and updates the
parameters through the mutual game between the generator and the relative discriminator [17]. …

19 天前 - … of generative adversarial network (GAN). Specifically, the generator of the model
employs convolutional neural network … designed for deep video compression is selected as the …

20 天前 - … associated with the teacher network. This kind of model compression technique
aims to … idea, we propose a knowledge distillation generative adversarial network (KDGAN) to …

21 天前 - … we utilized generative adversarial networks and … network structures, and compressing
the fused feature dimensions enables efficient learning. However, excessive compression …