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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
Generative Adversarial Networks for Image Super-Resolution: A Survey
Arxiv
0+阅读 · 12月19日
Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection
Arxiv
0+阅读 · 12月17日
Improving generative adversarial network inversion via fine-tuning GAN encoders
Arxiv
0+阅读 · 12月12日
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks
Arxiv
0+阅读 · 12月11日
Prob-cGAN: A Probabilistic Conditional Generative Adversarial Network for LSD1 Inhibitor Activity Prediction
Arxiv
0+阅读 · 11月23日
Risk Management with Feature-Enriched Generative Adversarial Networks (FE-GAN)
Arxiv
0+阅读 · 11月23日
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
Arxiv
0+阅读 · 11月22日
Landing Trajectory Prediction for UAS Based on Generative Adversarial Network
Landing Trajectory Prediction for UAS Based on Generative Adversarial Network
Arxiv
0+阅读 · 11月21日
Parallelly Tempered Generative Adversarial Networks
Arxiv
0+阅读 · 11月18日
Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images
Arxiv
0+阅读 · 11月14日
TexSenseGAN: A User-Guided System for Optimizing Texture-Related Vibrotactile Feedback Using Generative Adversarial Network
Arxiv
0+阅读 · 11月13日
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks
Arxiv
0+阅读 · 11月12日
Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function
Arxiv
0+阅读 · 11月11日
TexSenseGAN: A User-Guided System for Optimizing Texture-Related Vibrotactile Feedback Using Generative Adversarial Network
Arxiv
0+阅读 · 11月7日
End-to-end Inception-Unet based Generative Adversarial Networks for Snow and Rain Removals
Arxiv
0+阅读 · 11月7日
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