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2001.06937
Cited By
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
20 January 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
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Papers citing
"A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications"
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Title
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Diffusion Models: A Comprehensive Survey of Methods and Applications
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Generative Adversarial Networks for Image Super-Resolution: A Survey
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Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
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Diffusion Probabilistic Modeling for Video Generation
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Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
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Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey
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Generalization Metrics for Practical Quantum Advantage in Generative Models
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A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
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DeepCreativity: Measuring Creativity with Deep Learning Techniques
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Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
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A Style-Based Generator Architecture for Generative Adversarial Networks
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