DCGAN, or Deep Convolutional GAN, is a generative adversarial network architecture. It uses a couple of guidelines, in particular:

  • Replacing any pooling layers with strided convolutions (discriminator) and fractional-strided convolutions (generator).
  • Using batchnorm in both the generator and the discriminator.
  • Removing fully connected hidden layers for deeper architectures.
  • Using ReLU activation in generator for all layers except for the output, which uses tanh.
  • Using LeakyReLU activation in the discriminator for all layer.
Source: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Latest Papers

PAPER DATE
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images
| Sagar Kora Venu
2020-09-02
Direct Adversarial Training for GANs
Ziqiang Li
2020-08-19
Deep Convolutional GANs for Car Image Generation
Dong Hui Kim
2020-06-24
Neural Graphics Pipeline for Controllable Image Generation
Xuelin ChenDaniel Cohen-OrBaoquan ChenNiloy J. Mitra
2020-06-18
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks
Gašper Beguš
2020-06-04
Rényi Generative Adversarial Networks
Himesh BhatiaWilliam PaulFady AlajajiBahman GharesifardPhilippe Burlina
2020-06-03
Mimicry: Towards the Reproducibility of GAN Research
| Kwot Sin LeeChristopher Town
2020-05-05
In-Vehicle Object Detection in the Wild for Driverless Vehicles
Ranjith DinakaranLi ZhangRichard Jiang
2020-04-27
Effect of Input Noise Dimension in GANs
Manisha PadalaDebojit DasSujit Gujar
2020-04-15
Capsule GAN Using Capsule Network for Generator Architecture
Kanako MarusakiHiroshi Watanabe
2020-03-18
Real or Not Real, that is the Question
| Yuanbo XiangliYubin DengBo DaiChen Change LoyDahua Lin
2020-02-12
Segmentation and Generation of Magnetic Resonance Images by Deep Neural Networks
Antoine Delplace
2020-01-10
Non-Sequential Melody Generation
Mitchell BillardRobert BishopMoustafa ElsisyLaura GravesAntonina KolokolovaVineel NagisettyZachary NorthcottHeather Patey
2020-01-01
COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks
| Victor CostaNuno LourençoJoão CorreiaPenousal Machado
2019-12-12
LOGAN: Latent Optimisation for Generative Adversarial Networks
| Yan WuJeff DonahueDavid BalduzziKaren SimonyanTimothy Lillicrap
2019-12-02
Prescribed Generative Adversarial Networks
| Adji B. DiengFrancisco J. R. RuizDavid M. BleiMichalis K. Titsias
2019-10-09
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
| Atsuhiro NoguchiTatsuya Harada
2019-09-27
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks
Ranjith DinakaranPhilip EasomLi ZhangAhmed BouridaneRichard JiangEran Edirisinghe
2019-05-29
Deli-Fisher GAN: Stable and Efficient Image Generation With Structured Latent Generative Space
Boli FangChuck JiaMiao JiangDhawal Chaturvedi
2019-05-01
Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training
Vassili KovalevSiarhei Kazlouski
2019-04-18
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet
Meiyu LiHailiang TangMichael D. ChanXiaobo ZhouXiaohua Qian
2019-02-16
Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video
Süleyman AslanUğur GüdükbayB. Uğur TöreyinA. Enis Çetin
2019-02-05
Improving MMD-GAN Training with Repulsive Loss Function
| Wei WangYuan SunSaman Halgamuge
2018-12-24
Metropolis-Hastings Generative Adversarial Networks
| Ryan TurnerJane HungEric FrankYunus SaatciJason Yosinski
2018-11-28
MR-GAN: Manifold Regularized Generative Adversarial Networks
Qunwei LiBhavya KailkhuraRushil AnirudhYi ZhouYingbin LiangPramod Varshney
2018-11-22
Deep Learning based Pedestrian Detection at Distance in Smart Cities
Ranjith K DinakaranPhilip EasomAhmed BouridaneLi ZhangRichard JiangFozia MehboobAbdul Rauf
2018-11-18
Student's t-Generative Adversarial Networks
Jinxuan SunGuoqiang ZhongYang ChenYongbin LiuTao LiZhongwen Guo
2018-11-06
Generating Highly Realistic Images of Skin Lesions with GANs
Christoph BaurShadi AlbarqouniNassir Navab
2018-09-05
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
| Rosanne LiuJoel LehmanPiero MolinoFelipe Petroski SuchEric FrankAlex SergeevJason Yosinski
2018-07-09
On Latent Distributions Without Finite Mean in Generative Models
Damian LeśniakIgor SieradzkiIgor Podolak
2018-06-05
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs
Christoph BaurShadi AlbarqouniNassir Navab
2018-04-12
Adversarial Audio Synthesis
| Chris DonahueJulian McAuleyMiller Puckette
2018-02-12
Bayesian GAN
| Yunus SaatciAndrew G. Wilson
2017-12-01
Pulsar Candidate Identification with Artificial Intelligence Techniques
Ping GuoFuqing DuanPei WangYao YaoQian YinXin Xin
2017-11-27
High-Resolution Deep Convolutional Generative Adversarial Networks
| Joachim D. CurtóIrene C. ZarzaFernando De La TorreIrwin KingMichael R. Lyu
2017-11-17
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
Mario Valerio GiuffridaHanno ScharrSotirios A Tsaftaris
2017-09-04
Statistics of Deep Generated Images
| Yu ZengHuchuan LuAli Borji
2017-08-09
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
| Martin HeuselHubert RamsauerThomas UnterthinerBernhard NesslerSepp Hochreiter
2017-06-26
Bayesian GAN
| Yunus SaatchiAndrew Gordon Wilson
2017-05-26
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
| Chris DonahueZachary C. LiptonAkshay BalsubramaniJulian McAuley
2017-05-22
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
| Jianwei YangAnitha KannanDhruv BatraDevi Parikh
2017-03-05
Handwriting Profiling using Generative Adversarial Networks
Arna GhoshBiswarup BhattacharyaSomnath Basu Roy Chowdhury
2016-11-27
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
| Alec RadfordLuke MetzSoumith Chintala
2015-11-19

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