Citing Self-attention GAN If you find Self-attention GAN is useful in your research, please consider citing: @article{Han18, author = {Han Zhang and Ian J. Goodfellow and Dimitris N. Metaxas and Augustus Odena}, title = {Self-Attention Generative Adversarial Networks}, year = {2018}, jou...
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN) - taki0112/Self-Attention-GAN-Tensorflow
$ git clone https://github.com/heykeetae/Self-Attention-GAN.git $ cd Self-Attention-GAN 2. Install datasets (CelebA or LSUN) $ bash download.sh CelebA or $ bash download.sh LSUN 3. Train (i) Train $ python python main.py --batch_size 64 --imsize 64 --dataset celeb --adv_...
Self-attention for Graph: Self-attention是一种GNN。 各种变形,self attention计算量很大,可以减小::《Long Range Arena: A Benchmark for Efficient Transformers》《Efficient Transfomers: A Survey》 GAN 李宏毅 参考李宏毅和【傻瓜式】手把手教你搭建深度学习环境以及跑通Github代码(以Pix2PixGAN为例)_哔哩哔哩...
Code:https://github.com/heykeetae/Self-Attention-GAN 文章的另一个点是,对生成器和判别器应用spectral normalization。spectral normalization并非作者原创,但原工作只是对判别器使用spectral normalization,而这里作者对判别器和生成器均使用该技巧,发现能够稳定训练和提升生成的图片质量。
https://github.com/akanimax/attnganpytorch。 FAGAN: Full Attention GAN 介绍 在阅读了SAGAN (Self Attention GAN)的论文后,我想尝试一下,并对它进行更多的实验。由于作者的代码还不可用,所以我决定为它编写一个类似于我之前的“pro-gan-pth”包的一个package。我首先训练了SAGAN论文中描述的模型,然后意识到,...
通过将最好的Inception分数从36.8提高到52.52,将Fréchet初始距离从27.62减少到18.65说明SAGAN显著优于之前在图像合成的工作。对注意力层的可视化显示,生成器利用了与目标形状对应的邻域,而不是固定形状的局部区域。我们的代码可以在https://github.com/ brain-research/self-attention-gan找到。
代码地址:https://github.com/pprp/SimpleCVReproduction/tree/master/attention/Non-local/Non-Local_pytorch_0.4.1_to_1.1.0/lib 在计算机视觉领域,一篇关于Attention研究非常重要的文章《Non-local Neural Networks》在捕捉长距离特征之间依赖关系的基础上提出了一种非局部信息统计的注意力机制——Self Attention。
$ git clone https://github.com/heykeetae/Self-Attention-GAN.git $cdSelf-Attention-GAN 2. Install datasets (CelebA or LSUN) $ bash download.sh CelebA or $ bash download.sh LSUN 3. Train (i) Train $ python python main.py --batch_size 64 --imsize 64 --dataset celeb --adv_loss hi...
$ git clone https://github.com/heykeetae/Self-Attention-GAN.git $cdSelf-Attention-GAN 2. Install datasets (CelebA or LSUN) $ bash download.sh CelebA or $ bash download.sh LSUN 3. Train (i) Train $ python python main.py --batch_size 64 --imsize 64 --dataset celeb --adv_loss hi...