PTcomp: Post-Training Compression Technique for Generative Adversarial Networks

PTcomp: Post-Training Compression Technique for Generative Adversarial Networks

In a time of virtual spaces, the usage of generative adversarial networks is inevitable. Generative adversarial networks (GANs) are generative deep-learning models that can generate realistic data. GANs have been used in many applications like text-to-image, image-to-image, image synthesis, speech s...

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Bibliographic Details
Main Authors: Dina Tantawy, Mohamed Zahran, Amr G. Wassal
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Compression
deep-learning
generative adversarial networks
post-training
clustering
pruning
Online Access:https://ieeexplore.ieee.org/document/10025749/

Internet

https://ieeexplore.ieee.org/document/10025749/

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