《山行》

唐·杜牧

远上寒山石径斜，白云深处有人家。

停车坐爱枫林晚，霜叶红于二月花。

古诗两首&本周（1209-1213）部分GAN论文_文学

《赤壁》

唐·杜牧

折戟沉沙铁未销，自将磨洗认前朝。

东风不与周郎便，铜雀春深锁二乔。

古诗两首&本周（1209-1213）部分GAN论文_文学_02

【1】 Generating 3D People in Scenes without People

链接：https://arxiv.org/abs/1912.02923

【2】 Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations

链接：https://arxiv.org/abs/1912.03192

【3】 Generating Patient-like Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks

链接：https://arxiv.org/abs/1912.02942

【4】 Environment reconstruction on depth images using Generative Adversarial Networks

链接：https://arxiv.org/abs/1912.03992

【5】 Amora: Black-box Adversarial Morphing Attack

链接：https://arxiv.org/abs/1912.03829

【6】 Adversarial Pyramid Network for Video Domain Generalization

链接：https://arxiv.org/abs/1912.03716

【7】 cGANs with Multi-Hinge Loss

链接：https://arxiv.org/abs/1912.04216

【8】 Principal Component Properties of Adversarial Samples

链接：https://arxiv.org/abs/1912.03406

【9】 Appending Adversarial Frames for Universal Video Attack

链接：https://arxiv.org/abs/1912.04538

【10】 Feature Losses for Adversarial Robustness

链接：https://arxiv.org/abs/1912.04497

【11】 DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

链接：https://arxiv.org/abs/1912.04670

【12】 Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN

链接：https://arxiv.org/abs/1912.05357

【13】 MineGAN: effective knowledge transfer from GANs to target domains with few images

链接：https://arxiv.org/abs/1912.05270

【14】 cFineGAN: Unsupervised multi-conditional fine-grained image generation

链接：https://arxiv.org/abs/1912.05028

【15】 Analyzing and Improving the Image Quality of StyleGAN

链接：https://arxiv.org/abs/1912.04958

【16】 Self Organizing Nebulous Growths for Robust and Incremental Data Visualization

链接：https://arxiv.org/abs/1912.04896

【17】 Phase Retrieval using Conditional Generative Adversarial Networks

链接：https://arxiv.org/abs/1912.04981

【18】 Unified Generative Adversarial Networks for Controllable Image-to-Image Translation

链接：https://arxiv.org/abs/1912.06112

【19】 Improved Activity Forecasting for Generating Trajectories

链接：https://arxiv.org/abs/1912.05729

【20】 deepsing: Generating Sentiment-aware Visual Stories using Cross-modal Music Translation

链接：https://arxiv.org/abs/1912.05654

【21】 An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks

链接：https://arxiv.org/abs/1912.06013