Animated Avatar Generation Technology Research Based on Deep Convolutional Generative Adversarial Network Integrated With Self-Attention and Spectral Normalization

Animated Avatar Generation Technology Research Based on Deep Convolutional Generative Adversarial Network Integrated With Self-Attention and Spectral Normalization

The burgeoning field of large language models (LLMs), exemplified by DALL-E and Stable Diffusion, has made image generation a reality. However, the computationally intensive GPU training these models necessitate incurs substantial financial burdens. Moreover, while a plethora of image datasets are a...

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Bibliografiske detaljer
Main Authors: Houmin Wu, Sangguk Lim, Bin Xiao
Format: Article
Sprog:English
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Generative adversarial network
anime avatar
self-attention model
spectral normalization
Online adgang:https://ieeexplore.ieee.org/document/10720776/

Internet

https://ieeexplore.ieee.org/document/10720776/

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