随笔分类 - Generative Adversarial Networks
摘要：Adversarial Self-Defense for Cycle-Consistent GANs 2020-04-28 17:11:38 Paper: https://arxiv.org/abs/1908.01517 Code: https://github.com/dbash/pix2pix_
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摘要：Generating Adversarial Examples with Adversarial Networks 2020-03-08 22:40:38 Paper: IJCAI-2018 Code: https://github.com/mathcbc/advGAN_pytorch 1. Bac
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摘要：Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks 2019-06-01 09:52:46 Paper: http://openaccess.thecvf.com/content_cvpr
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摘要：论文笔记：Towards Diverse and Natural Image Descriptions via a Conditional GAN ICCV 2017 Paper: http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_T
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摘要：GANs and Divergence Minimization 2018-12-22 09:38:27 This blog is copied from: https://colinraffel.com/blog/gans-and-divergence-minimization.html This
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摘要：Macro-Micro Adversarial Network for Human Parsing ECCV-2018 2018-10-27 15:15:07 Paper: https://arxiv.org/pdf/1807.08260.pdf Code: https://github.com/R
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摘要：Awesome GAN for Medical Imaging 2018-08-10 09:32:43 This blog is copied from: https://github.com/xinario/awesome-gan-for-medical-imaging A curated lis
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摘要：Variational Capsules for Image Analysis and Synthesis 2018-07-16 16:54:36 Paper： https://arxiv.org/pdf/1807.04099.pdf 随着深度学习的崛起，已经有很多不同的应用领域都取得了巨大的成功，
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摘要：深度学习课程笔记（八）GAN 公式推导 2018-07-10 16:15:07
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摘要：Semantic Segmentation using Adversarial Networks 2018-04-27 09:36:48 Abstract： 对于产生式图像建模来说，对抗训练已经取得了很好的效果。本文中，我们提出了一种对抗训练的方法来训练语义分割模型。其实这里就是加了一个对抗loss
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摘要：SeqGAN: Sequence generative adversarial nets with policy gradient AAAI-2017 Paper: https://arxiv.org/abs/1609.05473 Offical Tensorflow Code: https://g
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摘要：Perceptual Generative Adversarial Networks for Small Object Detection 2017-07-11 19:47:46 CVPR 2017 This paper use GAN to handle the issue of small ob
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摘要：干货｜这篇TensorFlow实例教程文章告诉你GANs为何引爆机器学习？（附源码） 该博客来源自：https://mp.weixin.qq.com/s?__biz=MzA4NzE1NzYyMw==&mid=2247492203&idx=5&sn=3020c3a43bd4dd678782d8aa24
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摘要：Introductory guide to Generative Adversarial Networks (GANs) and their promise! Introduction Neural Networks have made great progress. They now recogn
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摘要：Unsupervised Image-to-Image Translation Networks Reading Writing 2017.03.03 Motivations: most existing image to image translation algorithms are all n
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摘要：Face Aging with Conditional Generative Adversarial Network 论文笔记 2017.02.28 Motivation： 本文是要根据最新的条件产生式对抗玩网络（CGANs）来完成，人类老年照片的估计。 主要是做了一下两个事情： 1. 根据年龄阶段
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摘要：本文转自: https://mp.weixin.qq.com/s?__biz=MzA5MDMwMTIyNQ==&mid=2649290778&idx=1&sn=9816b862e167c4792f4251c199fcae16&chksm=8811ee5cbf66674a54e87bc3cef4937
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