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Add code repo for ALI. Fixes #47
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Diff for: README.j2.md

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@@ -8,7 +8,7 @@ Every week, new GAN papers are coming out and it's hard to keep track of them al
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You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title [here](https://github.com/hindupuravinash/the-gan-zoo/blob/master/gans.tsv).
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Contributions are welcome. Add links through pull requests or create an issue to lemme know something I missed or to start a discussion.
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Contributions are welcome. Add links through pull requests in gans.tsv file in the same format or create an issue to lemme know something I missed or to start a discussion.
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Check out [Deep Hunt](https://deephunt.in) - my weekly AI newsletter for this repo as [blogpost](https://medium.com/deep-hunt/the-gan-zoo-79597dc8c347) and follow me on [Twitter](https://www.twitter.com/hindupuravinash).
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Diff for: README.md

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You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title [here](https://github.com/hindupuravinash/the-gan-zoo/blob/master/gans.tsv).
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Contributions are welcome. Add links through pull requests or create an issue to lemme know something I missed or to start a discussion.
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Contributions are welcome. Add links through pull requests in gans.tsv file in the same format or create an issue to lemme know something I missed or to start a discussion.
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Check out [Deep Hunt](https://deephunt.in) - my weekly AI newsletter for this repo as [blogpost](https://medium.com/deep-hunt/the-gan-zoo-79597dc8c347) and follow me on [Twitter](https://www.twitter.com/hindupuravinash).
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* AEGAN - [Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets](https://arxiv.org/abs/1703.10094)
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* AffGAN - [Amortised MAP Inference for Image Super-resolution](https://arxiv.org/abs/1610.04490)
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* AL-CGAN - [Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts](https://arxiv.org/abs/1612.00215)
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* ALI - [Adversarially Learned Inference](https://arxiv.org/abs/1606.00704)
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* ALI - [Adversarially Learned Inference](https://arxiv.org/abs/1606.00704) ([github](https://github.com/IshmaelBelghazi/ALI))
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* AlignGAN - [AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks](https://arxiv.org/abs/1707.01400)
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* AM-GAN - [Activation Maximization Generative Adversarial Nets](https://arxiv.org/abs/1703.02000)
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* AnoGAN - [Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery](https://arxiv.org/abs/1703.05921v1)
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* EGAN - [Enhanced Experience Replay Generation for Efficient Reinforcement Learning](https://arxiv.org/abs/1705.08245)
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* EnergyWGAN - [Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation](https://arxiv.org/abs/1712.01026)
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* ExGAN - [Eye In-Painting with Exemplar Generative Adversarial Networks](https://arxiv.org/abs/1712.03999)
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* ExposureGAN - [Exposure: A White-Box Photo Post-Processing Framework](https://arxiv.org/abs/1709.09602) [(github)](https://github.com/yuanming-hu/exposure)
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* ExposureGAN - [Exposure: A White-Box Photo Post-Processing Framework](https://arxiv.org/abs/1709.09602) ([github](https://github.com/yuanming-hu/exposure))
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* ExprGAN - [ExprGAN: Facial Expression Editing with Controllable Expression Intensity](https://arxiv.org/abs/1709.03842)
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* f-CLSWGAN - [Feature Generating Networks for Zero-Shot Learning](https://arxiv.org/abs/1712.00981)
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* f-GAN - [f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization](https://arxiv.org/abs/1606.00709)
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* SGAN - [Steganographic Generative Adversarial Networks](https://arxiv.org/abs/1703.05502)
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* SGAN - [SGAN: An Alternative Training of Generative Adversarial Networks](https://arxiv.org/abs/1712.02330)
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* SimGAN - [Learning from Simulated and Unsupervised Images through Adversarial Training](https://arxiv.org/abs/1612.07828)
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* SisGAN - [Semantic Image Synthesis via Adversarial Learning](https://arxiv.org/abs/1707.06873)
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* SisGAN - [Semantic Image Synthesis via Adversarial Learning](https://arxiv.org/abs/1707.06873)
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* SketchGAN - [Adversarial Training For Sketch Retrieval](https://arxiv.org/abs/1607.02748)
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* SketchyGAN - [SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis](https://arxiv.org/abs/1801.02753)
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* SL-GAN - [Semi-Latent GAN: Learning to generate and modify facial images from attributes](https://arxiv.org/abs/1704.02166)
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* TV-GAN - [TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition](https://arxiv.org/abs/1712.02514)
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* UGACH - [Unsupervised Generative Adversarial Cross-modal Hashing](https://arxiv.org/abs/1712.00358)
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* UGAN - [Enhancing Underwater Imagery using Generative Adversarial Networks](https://arxiv.org/abs/1801.04011)
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* Unim2im - [Unsupervised Image-to-Image Translation with Generative Adversarial Networks ](https://arxiv.org/abs/1701.02676) ([github](https://github.com/zsdonghao/Unsup-Im2Im))
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* Unrolled GAN - [Unrolled Generative Adversarial Networks](https://arxiv.org/abs/1611.02163) ([github](https://github.com/poolio/unrolled_gan))
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* Unim2im - [Unsupervised Image-to-Image Translation with Generative Adversarial Networks](https://arxiv.org/abs/1701.02676) ([github](https://github.com/zsdonghao/Unsup-Im2Im))
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* VAE-GAN - [Autoencoding beyond pixels using a learned similarity metric](https://arxiv.org/abs/1512.09300)
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* VariGAN - [Multi-View Image Generation from a Single-View](https://arxiv.org/abs/1704.04886)
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* VAW-GAN - [Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks](https://arxiv.org/abs/1704.00849)

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Diff for: gans.tsv

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2016 04 MGAN Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks https://arxiv.org/abs/1604.04382 https://github.com/chuanli11/MGANs
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2016 05 BiGAN Adversarial Feature Learning https://arxiv.org/abs/1605.09782v7 -
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2016 05 GAN-CLS Generative Adversarial Text to Image Synthesis https://arxiv.org/abs/1605.05396 https://github.com/reedscot/icml2016
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2016 06 ALI Adversarially Learned Inference https://arxiv.org/abs/1606.00704 -
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2016 06 ALI Adversarially Learned Inference https://arxiv.org/abs/1606.00704 https://github.com/IshmaelBelghazi/ALI
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2016 06 CoGAN Coupled Generative Adversarial Networks https://arxiv.org/abs/1606.07536v2 -
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2016 06 Improved GAN Improved Techniques for Training GANs https://arxiv.org/abs/1606.03498 https://github.com/openai/improved-gan
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2016 06 InfoGAN InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets https://arxiv.org/abs/1606.03657v1 https://github.com/openai/InfoGAN
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2017 01 SalGAN SalGAN: Visual Saliency Prediction with Generative Adversarial Networks https://arxiv.org/abs/1701.01081 https://github.com/imatge-upc/saliency-salgan-2017
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2017 01 ViGAN Image Generation and Editing with Variational Info Generative Adversarial Networks https://arxiv.org/abs/1701.04568v1 -
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2017 01 WGAN Wasserstein GAN https://arxiv.org/abs/1701.07875v2 https://github.com/martinarjovsky/WassersteinGAN
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2017 01 Unim2im Unsupervised Image-to-Image Translation with Generative Adversarial Networks https://arxiv.org/abs/1701.02676 http://github.com/zsdonghao/Unsup-Im2Im
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2017 02 ArtGAN ArtGAN: Artwork Synthesis with Conditional Categorial GANs https://arxiv.org/abs/1702.03410 -
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2017 02 BS-GAN Boundary-Seeking Generative Adversarial Networks https://arxiv.org/abs/1702.08431v1 -
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2017 02 Bayesian GAN Deep and Hierarchical Implicit Models https://arxiv.org/abs/1702.08896 https://github.com/andrewgordonwilson/bayesgan/
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2017 07 ss-InfoGAN Guiding InfoGAN with Semi-Supervision https://arxiv.org/abs/1707.04487 -
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2017 07 SteinGAN Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE https://arxiv.org/abs/1707.00797 -
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2017 07 VRAL Variance Regularizing Adversarial Learning https://arxiv.org/abs/1707.00309 -
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2017 07 SisGAN Semantic Image Synthesis via Adversarial Learning https://arxiv.org/abs/1707.06873 -
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2017 08 3D-RecGAN 3D Object Reconstruction from a Single Depth View with Adversarial Learning https://arxiv.org/abs/1708.07969 https://github.com/Yang7879/3D-RecGAN
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2017 08 ABC-GAN ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks https://drive.google.com/file/d/0B3wEP_lEl0laVTdGcHE2VnRiMlE/view https://github.com/IgorSusmelj/ABC-GAN
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2017 08 BGAN Binary Generative Adversarial Networks for Image Retrieval https://arxiv.org/abs/1708.04150 https://github.com/htconquer/BGAN
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2017 09 RefineGAN Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks https://arxiv.org/abs/1709.00753 -
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2017 09 Splitting GAN Class-Splitting Generative Adversarial Networks https://arxiv.org/abs/1709.07359 -
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2017 09 Δ-GAN Triangle Generative Adversarial Networks https://arxiv.org/abs/1709.06548 -
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2017 09 ExposureGAN Exposure: A White-Box Photo Post-Processing Framework https://arxiv.org/abs/1709.09602 https://github.com/yuanming-hu/exposure
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2017 10 CM-GAN CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning https://arxiv.org/abs/1710.05106 -
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2017 10 GAN-ATV A Novel Approach to Artistic Textual Visualization via GAN https://arxiv.org/abs/1710.10553 -
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2017 10 GAP Context-Aware Generative Adversarial Privacy https://arxiv.org/abs/1710.09549 -

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