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【論文復現】Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalizatiton
時間 2020-12-30
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GAN
人工智能
深度學習
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前言 趁着暑假還有足夠多的時間,參加了百度飛槳的論文復現營,10篇論文之中選擇了這篇論文。 論文題目:U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 論文鏈接 不得不說,有機會體驗8卡的V1
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相關文章
1.
Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normaliza論文復現、PaddlePaddle
2.
【飛槳】論文解讀:U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance
3.
論文閱讀——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》
4.
UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
5.
[cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
6.
論文譯文《ANOMALY DETECTION WITH GENERATIVE ADVERSARIAL NETWORKS》
7.
AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 論文解讀
8.
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
9.
飛槳PaddlePaddle論文復現營-U-GAT-IT論文解讀
10.
FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
>>更多相關文章<<