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生成对抗网络 (Generative Adversarial Network, GAN) 是一类神经网络，通过轮流训练判别器 (Discriminator) 和生成器 (Generator)，令其相互对抗，来从复杂概率分布中采样，例如生成图片、文字、语音等。GAN 最初由 Ian Goodfellow 提出，原论文见 Generative Adversarial Networks
Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
Arxiv
0+阅读 · 12月2日
A Novel Wasserstein Quaternion Generative Adversarial Network for Color Image Generation
Arxiv
0+阅读 · 12月9日
Hellinger loss function for Generative Adversarial Networks
Arxiv
0+阅读 · 12月13日
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation
Arxiv
0+阅读 · 12月12日
Probabilistic Wildfire Spread Prediction Using an Autoregressive Conditional Generative Adversarial Network
Arxiv
0+阅读 · 11月26日
Topology-Guided Quantum GANs for Constrained Graph Generation
Arxiv
0+阅读 · 12月11日
SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Style Transfer
Arxiv
0+阅读 · 10月31日
PCP-GAN: Property-Constrained Pore-scale image reconstruction via conditional Generative Adversarial Networks
Arxiv
0+阅读 · 10月22日
Addressing data scarcity in structural health monitoring through generative augmentation
Arxiv
0+阅读 · 10月19日
PGMEL: Policy Gradient-based Generative Adversarial Network for Multimodal Entity Linking
Arxiv
0+阅读 · 10月3日
Mutual information maximizing quantum generative adversarial networks
Arxiv
0+阅读 · 10月1日
From Satellite to Street: A Hybrid Framework Integrating Stable Diffusion and PanoGAN for Consistent Cross-View Synthesis
Arxiv
0+阅读 · 9月29日
Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings
Arxiv
0+阅读 · 8月12日
Learning Kinetic Monte Carlo stochastic dynamics with Deep Generative Adversarial Networks
Arxiv
0+阅读 · 7月29日
Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
Arxiv
0+阅读 · 9月24日
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