相关数据集
huggan/night2day
# Citation ``` @article{pix2pix2017, title={Image-to-Image Translation with Conditional Adversarial Networks}, author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A}, jo
Hugging Face2022-04-12 更新410
pix2pix
Pix2Pix利用成对的图片进行图像翻译，即输入为同一张图片的两种不同风格，可用于进行风格迁移。研究条件对抗网络作为图像到图像转换问题的通用解决方案。这些网络不仅学习从输入图像到输出图像的映射，还学习了一个损失函数来训练这个映射。这使得将相同的通用方法应用于传统上需要非常不同的损失公式的问题成为可能。我们证明了这种方法在从标签图合成照片、从边缘图重建对象以及对图像进行着色等任务方面是有效的。
OpenXLab60
Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau as an Example（training set data）
This is a training set for machine learning.The content of this training set is related to the published paper "Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau a
NIAID Data Ecosystem40
Data for "Digital rock reconstruction with user-defined properties using conditional generative adversarial networks"
The training data and results data for "Digital rock reconstruction with user-defined properties using conditional generative adversarial networks"
Figshare2020-11-29 更新70
Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains
Irreversible and rejection-free Monte Carlo methods, recently developed in physics under the name event-chain and known in statistics as piecewise deterministic Monte Carlo (PDMC), have proven to prod
Taylor & Francis Group2021-09-29 更新60
