GAN Hinge Loss

Introduced by Lim et al. in Geometric GAN

The GAN Hinge Loss is a hinge loss based loss function for generative adversarial networks:

$$ L_{G} = -\mathbb{E}_{\left(x, y\right)\sim{p}_{data}}\left[\min\left(0, -1 + D\left(x, y\right)\right)\right] -\mathbb{E}_{z\sim{p_{z}}, y\sim{p_{data}}}\left[\min\left(0, -1 - D\left(G\left(z\right), y\right)\right)\right] $$

$$ L_{G} = -\mathbb{E}_{z\sim{p_{z}}, y\sim{p_{data}}}D\left(G\left(z\right), y\right) $$

Source: Geometric GAN

Latest Papers

PAPER DATE
not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget
Seungwook HanAkash SrivastavaCole HurwitzPrasanna SattigeriDavid D. Cox
2020-09-09
Neural Crossbreed: Neural Based Image Metamorphosis
Sanghun ParkKwanggyoon SeoJunyong Noh
2020-09-02
SpeedySpeech: Efficient Neural Speech Synthesis
Jan VainerOndřej Dušek
2020-08-09
Improving the Speed and Quality of GAN by Adversarial Training
Jiachen ZhongXuanqing LiuCho-Jui Hsieh
2020-08-07
Instance Selection for GANs
Terrance DeVriesMichal DrozdzalGraham W. Taylor
2020-07-30
VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
Jinhyeok YangJunmo LeeYoungik KimHoonyoung ChoInjung Kim
2020-07-30
Interpolating GANs to Scaffold Autotelic Creativity
Ziv EpsteinOcéane BoulaisSkylar GordonMatt Groh
2020-07-21
PriorGAN: Real Data Prior for Generative Adversarial Nets
Shuyang GuJianmin BaoDong ChenFang Wen
2020-06-30
Differentiable Augmentation for Data-Efficient GAN Training
| Shengyu ZhaoZhijian LiuJi LinJun-Yan ZhuSong Han
2020-06-18
Adversarial representation learning for private speech generation
| David EricssonAdam ÖstbergEdvin Listo ZecJohn MartinssonOlof Mogren
2020-06-16
SE-MelGAN -- Speaker Agnostic Rapid Speech Enhancement
Luka ChkhetianiLevan Bejanidze
2020-06-13
Training Generative Adversarial Networks with Limited Data
| Tero KarrasMiika AittalaJanne HellstenSamuli LaineJaakko LehtinenTimo Aila
2020-06-11
Learning disconnected manifolds: a no GANs land
Ugo TanielianThibaut IssenhuthElvis DohmatobJeremie Mary
2020-06-08
Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models
| Andrey VoynovStanislav MorozovArtem Babenko
2020-06-08
A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schonfeld Bernt Schiele Anna Khoreva
2020-06-01
Network Fusion for Content Creation with Conditional INNs
Robin RombachPatrick EsserBjörn Ommer
2020-05-27
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models
Martin KotuliakSandro E. SchoenbornAndrei Dan
2020-05-19
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
| Geng YangShan YangKai LiuPeng FangWei ChenLei Xie
2020-05-11
Mimicry: Towards the Reproducibility of GAN Research
| Kwot Sin LeeChristopher Town
2020-05-05
GANSpace: Discovering Interpretable GAN Controls
| Erik HärkönenAaron HertzmannJaakko LehtinenSylvain Paris
2020-04-06
Evolving Normalization-Activation Layers
| Hanxiao LiuAndrew BrockKaren SimonyanQuoc V. Le
2020-04-06
Feature Quantization Improves GAN Training
| Yang ZhaoChunyuan LiPing YuJianfeng GaoChangyou Chen
2020-04-05
BigGAN-based Bayesian reconstruction of natural images from human brain activity
Kai QiaoJian ChenLinyuan WangChi ZhangLi TongBin Yan
2020-03-13
Transformation-based Adversarial Video Prediction on Large-Scale Data
Pauline LucAidan ClarkSander DielemanDiego de Las CasasYotam DoronAlbin CassirerKaren Simonyan
2020-03-09
A U-Net Based Discriminator for Generative Adversarial Networks
| Edgar SchönfeldBernt SchieleAnna Khoreva
2020-02-28
Improved Consistency Regularization for GANs
Zhengli ZhaoSameer SinghHonglak LeeZizhao ZhangAugustus OdenaHan Zhang
2020-02-11
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN
Milad MozafariLeila ReddyRufin VanRullen
2020-01-31
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
Mohamed El Amine SeddikCosme LouartMohamed TamaazoustiRomain Couillet
2020-01-21
CNN-generated images are surprisingly easy to spot... for now
| Sheng-Yu WangOliver WangRichard ZhangAndrew OwensAlexei A. Efros
2019-12-23
LOGAN: Latent Optimisation for Generative Adversarial Networks
| Yan WuJeff DonahueDavid BalduzziKaren SimonyanTimothy Lillicrap
2019-12-02
Detecting GAN generated errors
Xiru ZhuFengdi CheTianzi YangTzuyang YuDavid MegerGregory Dudek
2019-12-02
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
| Giannis DarasAugustus OdenaHan ZhangAlexandros G. Dimakis
2019-11-27
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
| Ceyuan YangYujun ShenBolei Zhou
2019-11-21
Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings
| Qi LiLong MaiMichael A. AlcornAnh Nguyen
2019-10-10
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
| Kundan KumarRithesh KumarThibault de BoissiereLucas GestinWei Zhen TeohJose SoteloAlexandre de BrebissonYoshua BengioAaron Courville
2019-10-08
Attribute Manipulation Generative Adversarial Networks for Fashion Images
Kenan E. Ak Joo Hwee Lim Jo Yew Tham Ashraf A. Kassim
2019-10-01
Adversarial Video Generation on Complex Datasets
Aidan ClarkJeff DonahueKaren Simonyan
2019-07-15
Large Scale Adversarial Representation Learning
| Jeff DonahueKaren Simonyan
2019-07-04
Deep Compressed Sensing
| Yan WuMihaela RoscaTimothy Lillicrap
2019-05-16
Improved Precision and Recall Metric for Assessing Generative Models
| Tuomas KynkäänniemiTero KarrasSamuli LaineJaakko LehtinenTimo Aila
2019-04-15
High-Fidelity Image Generation With Fewer Labels
| Mario LucicMichael TschannenMarvin RitterXiaohua ZhaiOlivier BachemSylvain Gelly
2019-03-06
Unsupervised Image-to-Image Translation with Self-Attention Networks
| Taewon KangKwang Hee Lee
2019-01-24
Metropolis-Hastings view on variational inference and adversarial training
Kirill NeklyudovEvgenii EgorovPavel ShvechikovDmitry Vetrov
2018-10-16
Discriminator Rejection Sampling
| Samaneh AzadiCatherine OlssonTrevor DarrellIan GoodfellowAugustus Odena
2018-10-16
Large Scale GAN Training for High Fidelity Natural Image Synthesis
| Andrew BrockJeff DonahueKaren Simonyan
2018-09-28
Generative Adversarial Network with Spatial Attention for Face Attribute Editing
| Gang ZhangMeina KanShiguang ShanXilin Chen
2018-09-01
Self-Attention Generative Adversarial Networks
| Han ZhangIan GoodfellowDimitris MetaxasAugustus Odena
2018-05-21
Spectral Normalization for Generative Adversarial Networks
| Takeru MiyatoToshiki KataokaMasanori KoyamaYuichi Yoshida
2018-02-16
Geometric GAN
| Jae Hyun LimJong Chul Ye
2017-05-08
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin TranRajesh RanganathDavid M. Blei
2017-02-28

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