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PMGAN: pretrained model-based generative adversarial network for text-to-image generation
Yue Yu
*
, Yue Yang, Jingshuo Xing
*
Corresponding author for this work
School of Computer Science and Technology
Beijing Institute of Technology
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peer-review
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Engineering
Image Synthesis
100%
Discriminator
100%
Tasks
50%
Experimental Result
50%
State-of-the-Art Method
50%
Similarities
50%
Input Image
50%
Diffusion Model
50%
Generated Image
50%
Computer Science
Image Synthesis
100%
Generative Adversarial Networks
100%
Image Quality
66%
image feature
33%
Discriminator
33%
Realism
33%
Experimental Result
16%
Diffusion Model
16%
Training Image
16%
Similarity Model
16%