997篇-历史最全生成对抗网络（GAN）论文串烧

由ypyu创建，最终由qxiao更新于2024-06-12 06:04 被浏览 530 用户

什么是GAN？（本文内容整理自网络）

GAN（Generative Adversarial Netwo，生成对抗网络）是用于无监督学习的机器学习模型，由Ian Goodfellow等人在2014年提出，由神经网络构成判别器和生成器构成，通过一种互相竞争的机制组成的一种学习框架。

卷积神经网络之父-Yann LeCun这样评论GAN

在我看来，最重要的是对抗训练( GAN也称为生成对抗网络)。这一想法最初是Ian Goodfellow在蒙特利尔大学读书是提出的，他当时是Yoshua Bengio的学生(Yoshua Bengio先加入了Google Brain，最近有离职加入OpenAI )。在我看来，这一想法与正在被提出的各种变化，是最近十年来在ML中最有趣的想法。

GAN是一个非常强大的框架，这里，我们主要整理了自2014年，GAN推出以来，一些优质的论文，分享给有需要的朋友。

（限于篇幅原因，本文主要列出前50篇GAN相关论文，文末附上完整且带论文链接的list）

列表如下

1. 3C-GAN: AN CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY 2018/1 ICLR2018 3C-GAN

2. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose

   2018/7 Medical: Reconstruction New

3. 3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation

   2018/3 New, 3D

4. 3D Medical Image Synthesis using Generative Adversarial Networks

   2017/ Medical: Synthersize Medical

5. 3D Object Reconstruction from a Single Depth View with Adversarial Learning?

   2017/8 Applied Vision 3D-RecGAN

6. 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network

   2017/11 ORGAN

7. 3D Shape Induction from 2D Views of Multiple Objects

   2016/12 3D Object generation PrGAN Citation: 9

8. 3D-Scene-GAN: Three-dimensional Scene Reconstruction with Generative Adversarial Networks

   2018/2 ICLR2018

9. A Classification-Based Perspective on GAN Distributions

   2018/1 ICLR2018

10. A Classification-Based Perspective on GAN Distributions?

    2017/11 Theory & Machine Learning Citation: 1

11. A conditional adversarial network for semantic segmentation of brain tumor

    2018/2 Medical: Segmentation New

12. A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models?

    2016/11 Theory & Machine Learning Citation: 16

13. A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation

    2018/1 None

14. A Deep Predictive Coding Network for Learning Latent Representations

    2018/3 New, Bio

15. A General Retraining Framework for Scalable Adversarial Classification?

    2016/4 Theory & Machine Learning Citation: 6

16. A Generalized Active Learning Approach for Unsupervised Anomaly Detection

    2018/5 New

17. A generative adversarial framework for positive-unlabeled classification

    2017/11 GPU

18. A Generative Model for Volume Rendering

    2017/10 Medical: Volume Rendering Applied Other

19. A Hybrid Model for Identity Obfuscation by Face Replacement

    2018/4 New

20. A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation

    2018/4 New

21. A Novel Approach to Artistic Textual Visualization via GAN?

    2017/10 Applied Vision GAN-ATV

22. A Self-Training Method for Semi-Supervised GANs

    2018/1 ICLR2018

23. A Solvable High-Dimensional Model of GAN

    2018/5 New

24. A step towards procedural terrain generation with GANs?

    2017/7 Applied Vision

25. A Study into the similarity in generator and discriminator in GAN architecture

    2018/2 None

26. A Study of Cross-domain Generative Models applied to Cartoon Series?

    2017/9

27. A survey of image synthesis and editing with generative adversarial networks

28. A Variational Inequality Perspective on Generative Adversarial Nets

    2018/2 None

29. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection?

    2017/4 Object Detection Citation: 12

30. ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks

    2017/8 ABC-GAN Stars: 2

31. Abnormal Event Detection in Videos using Generative Adversarial Nets?

    2017/8 Applied Vision

32. Accelerated Magnetic Resonance Imaging by Adversarial Neural Network

    2017/9 Medical: Reconstruction

33. Accelerating Science with?Generative?Adversarial?Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

    2018/1 Medical: Reconstruction New

34. Activation Maximization Generative Adversarial Nets

    2017/3 Theory & Machine Learning AM-GAN

35. Activation Maximization Generative Adversarial Nets

    2018/1 ICLR2018

36. ACtuAL: Actor-Critic Under Adversarial Learning

    2017/11 ACtuAL

37. AdaGAN: Boosting Generative Models?

    2017/1 Ensemble, Theory & Machine Learning AdaGAN Citation: 19

38. Adaptive template generation for amyloid PET using a deep learning approach

    2018/5 Medical: Synthersize New

39. Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks?

    2017/9

40. Adversarial Attacks on Neural Network Policies?

    2017/2 Citation: 21

41. Adversarial Autoencoders?

    2015/11 Theory & Machine Learning AAE Citation: 163 Stars: 130

42. Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data

    2018/3 New

43. Adversarial Deep Structural Networks for Mammographic Mass Segmentation

    2016/12 BioarXiv

44. Adversarial Deep Structural Networks for Mammographic Mass Segmentation?

    2016/12 Semantic Segmentation Citation: 7

45. Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

    2017/10 Medical: Segmentation Stars: 13

46. Adversarial Discriminative Domain Adaptation?

    2017/2 Theory & Machine Learning Citation: 52

47. Adversarial examples for generative models

    2017/2 Adversarial Examples (Defense vs Attack)

48. Adversarial Examples for Semantic Segmentation and Object Detection?

    2017/7 Citation: 17

49. Adversarial Examples Generation and Defense Based on Generative Adversarial Network

    2017/ Adversarial Examples (Defense vs Attack)

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