{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/wasserstein-gan","title":"Wasserstein GAN","arxiv_id":"1701.07875","date":"2017-01-26","proceeding":null,"authors":["Martin Arjovsky","Soumith Chintala","Léon Bottou"],"abstract":"We introduce a new algorithm named WGAN, an alternative to traditional GAN\ntraining. In this new model, we show that we can improve the stability of\nlearning, get rid of problems like mode collapse, and provide meaningful\nlearning curves useful for debugging and hyperparameter searches. Furthermore,\nwe show that the corresponding optimization problem is sound, and provide\nextensive theoretical work highlighting the deep connections to other distances\nbetween distributions.","url_abs":"http://arxiv.org/abs/1701.07875v3","url_pdf":"http://arxiv.org/pdf/1701.07875v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/AlexMGitHub/PokeGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Ars235/Novelty_Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/BenjiKCF/Superesolution-and-watermark-removal","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/ChengBinJin/WGAN-TensorFlow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/CtrlZ1/Domain-Adaptation-Algorithms","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/DanGOTO100/SCADA-GAN-Synthetic-Generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/JsFlo/Generative-Adversarial-Nets","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/LEEPEIQIN/EDSR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/LWChen20/RCAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/MMadhatter/wgan-mindspore","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/MasoumehVahedi/GANs-Model","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Michael-T-McCann/simple-WGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/MichalKacprzak99/reconstruction_particle_mass_spectra","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Mind23-2/MindCode-90","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Mohammad-Rahmdel/WassersteinGAN-Tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Mohammad-Rahmdel/WassersteinGAN-Tensorflow-","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/NMADALI97/Learning-With-Wasserstein-Loss","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/NeuralVFX/wasserstein-gan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Sean-Hastings/WGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/SimoneDutto/EDSR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Sinestro38/qosf-qgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/SongDark/generate_normal","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/TanyaChutani/WGAN-TF2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/TanyaChutani/WGAN-TF2.x","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Tejas-Nanaware/GAN-Anime-Characters","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Venkateshwar2506/WGAN---PyTorch-implementation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/VitoRazor/Gan_Architecture","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/WangZesen/WGAN-GP-Tensorflow-v2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/Zachdr1/WGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/adler-j/bwgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/aelnouby/Text-to-Image-Synthesis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/akashpalrecha/deblurring-pipeline","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/akashpalrecha/superres-deformable","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/akshay-gupta123/WGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/alan-chengzhang/GAN_Advance-Machine-Learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/alectryonexamples/gan_tf2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/amoghadishesha/W-gan-Simple","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/apisarek/gan_advances","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/arnonbruno/ganify","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/beresandras/gan-flavours-keras","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/bhargavajs07/Packed-Wasserstein-GAN-with-GradientPenalty-Example","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/bhargavajs07/Packed_WGAN_GP_Example","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/catalyst-team/gan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/chanshing/geocondition","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/charlescheng0117/pytorch-WGAN-GP-TTUR-CelebA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/chiqunz/Unsupervised_Models","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/cjfghk5697/Pytorch-Research-Paper-Implementations","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/croesuslab/RCTGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/dabsdamoon/Anime-Colorization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/dabsdamoon/Anime-Colorization-v0.2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/daheyinyin/wgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/divyam25/Oh-My-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/donand/GAN_pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/eriklindernoren/Keras-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/eriklindernoren/PyTorch-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/franroldans/tfm-franroldan-wav2pix","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/hse-cs/probaforms","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/huybik/GAN-Experiments-Pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/huybik/GANs-Pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/ja3067/wgan-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/jher123/GAN-experiments","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/jher123/WGAN-experiments","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/joeylitalien/celeba-gan-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/kangyeolk/pytorch-gan-collections","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/karl-hajjar/Generative-Adversarial-Networks","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/korra141/Generative-Adversarial-Networks","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/kynk94/TF2-Image-Generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/landeros10/infoganJL","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/laowng/GISR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/leejaeka/PixelGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/leejaeka/incrementum","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/leoHeidel/vae-gan-tf2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/lilianweng/unified-gan-tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/lunz-s/DeepAdverserialRegulariser","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/manicman1999/Sword-GAN32","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/markmaxt/VideoSR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/marload/GANs-TensorFlow2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/marload/TensorFlow2-GANs","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/martinarjovsky/WassersteinGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/matjazmav/fri-2021-ibb-seminar","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/maxmax1992/WGAN_WGAN-GP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/mbarbetti/tf-gen-models","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/nannau/DoWnGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/polmonroig/faceGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/rkem1542/EDSR-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/rmyhovych/wgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/safwankdb/Wasserstein-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/sanghyun-son/EDSR-PyTorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/shahbuland/basic-gans","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/shekkizh/WassersteinGAN.tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/snow-mn/GAN-INT-CLS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/spandan2/Wgan-GP_cats","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/thstkdgus35/EDSR-PyTorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/triple7/Keras-WGAN-RGB-128x128","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/u7javed/Conditional-WGAN-GP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/unicredit/ganzo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/vohoaiviet/Advanced-Deep-Learning-with-Keras","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/wayne1123/mnist_wgan_gp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/wikibook/keras","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/wuhuikai/GP-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/yjhong89/Domain-Adaptation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/zeleni9/pytorch-wgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/zhusiling/EDSR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/zzmtsvv/adversarial","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/2023-MindSpore-1/ms-code-7/tree/main/WGAN_GP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/2023-MindSpore-4/Code10/tree/main/WGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/2023-MindSpore-4/Code9/tree/main/WGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/ChristophReich1996/Dirac-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/ChristophReich1996/Mode_Collapse","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/CtrlZ1/Domain-Adaptive-CodeBase","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/HsiehKang/wgan/blob/main/wgan.ipynb","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Wasserstein_GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/g4vrel/simple_ml/tree/main/WGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/labmlai/annotated_deep_learning_paper_implementations","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/lvyufeng/MindSpore-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/mindspore-ai/models/blob/master/research/cv/wgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"wasserstein-gan","repo_url":"https://github.com/ydataai/ydata-synthetic/tree/master/src/ydata_synthetic/synthesizers/regular/wgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"image-generation","task_name":"Image Generation"},{"task_slug":"synthetic-data-generation","task_name":"Synthetic Data Generation"}],"methods":[{"method_slug":"adagrad","method_name":"AdaGrad"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"wgan","method_name":"WGAN"},{"method_slug":null,"method_name":null}],"datasets_introduced":[],"methods_introduced":[{"slug":"wgan","name":"WGAN","full_name":"Wasserstein GAN"}],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1701.07875","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1701.07875"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/catalyst-team/gan","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/2023-MindSpore-1/ms-code-7/tree/main/WGAN_GP","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/landeros10/infoganJL","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/leoHeidel/vae-gan-tf2","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/huybik/GANs-Pytorch","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/WangZesen/WGAN-GP-Tensorflow-v2","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/joeylitalien/celeba-gan-pytorch","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/CtrlZ1/Domain-Adaptation-Algorithms","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/yjhong89/Domain-Adaptation","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/dabsdamoon/Anime-Colorization-v0.2","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/BenjiKCF/Superesolution-and-watermark-removal","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/aelnouby/Text-to-Image-Synthesis","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mbarbetti/tf-gen-models","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/triple7/Keras-WGAN-RGB-128x128","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/manicman1999/Sword-GAN32","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/rkem1542/EDSR-pytorch","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mindspore-ai/models/blob/master/research/cv/wgan","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/divyam25/Oh-My-GAN","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ja3067/wgan-pytorch","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/charlescheng0117/pytorch-WGAN-GP-TTUR-CelebA","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ChengBinJin/WGAN-TensorFlow","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/safwankdb/Wasserstein-GAN","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/SimoneDutto/EDSR","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ChristophReich1996/Dirac-GAN","reach":null}],"summary":{"ran_draft_wrong":10,"ran_fixture":2,"ran_honours":1,"unverified":9},"by_repo_kind":{"listed":{"samples":17,"ran":9,"repositories":6}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":13,"samples":[{"code_sha256_prefix":"1ed8e07513aa3597","entry":"W_Loss","repo":"shahbuland/basic-gans","repo_kind":"listed","path":"GP-WGAN-pytorch.py","file_url":"https://github.com/shahbuland/basic-gans/blob/HEAD/GP-WGAN-pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"1ed8e07513aa3597"}},{"code_sha256_prefix":"278a4cc6c445af9d","entry":"gallery","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"278a4cc6c445af9d"}},{"code_sha256_prefix":"bedb8cd7ec02640d","entry":"generator_loss","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"bedb8cd7ec02640d"}},{"code_sha256_prefix":"ed31414e5c54cdd9","entry":"latent_lerp","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"ed31414e5c54cdd9"}},{"code_sha256_prefix":"54c81a1299e9981e","entry":"loss_mod_f_disc","repo":"rmyhovych/wgan","repo_kind":"listed","path":"wgan.py","file_url":"https://github.com/rmyhovych/wgan/blob/HEAD/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"54c81a1299e9981e"}},{"code_sha256_prefix":"cdc18420f3a1336d","entry":"loss_mod_f_gen","repo":"rmyhovych/wgan","repo_kind":"listed","path":"wgan.py","file_url":"https://github.com/rmyhovych/wgan/blob/HEAD/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"cdc18420f3a1336d"}},{"code_sha256_prefix":"b791fcf70f47f853","entry":"loss_wasserstein_f_gen","repo":"rmyhovych/wgan","repo_kind":"listed","path":"wgan.py","file_url":"https://github.com/rmyhovych/wgan/blob/HEAD/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b791fcf70f47f853"}},{"code_sha256_prefix":"8b7e4c7f96e7694c","entry":"moving_average","repo":"MaximeVandegar/Papers-in-100-Lines-of-Code","repo_kind":"listed","path":"Wasserstein_GAN/wgan.py","file_url":"https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/blob/HEAD/Wasserstein_GAN/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"8b7e4c7f96e7694c"}},{"code_sha256_prefix":"9dd51c421620b70a","entry":"noise","repo":"safwankdb/Wasserstein-GAN","repo_kind":"listed","path":"wgan.py","file_url":"https://github.com/safwankdb/Wasserstein-GAN/blob/HEAD/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"9dd51c421620b70a"}},{"code_sha256_prefix":"561c628f77383ba9","entry":"sample_noise","repo":"MaximeVandegar/Papers-in-100-Lines-of-Code","repo_kind":"listed","path":"Wasserstein_GAN/wgan.py","file_url":"https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/blob/HEAD/Wasserstein_GAN/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"561c628f77383ba9"}},{"code_sha256_prefix":"33614cf1f2bf5b64","entry":"screen_lerp","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"33614cf1f2bf5b64"}},{"code_sha256_prefix":"58b3f3f3f2089fb2","entry":"train_critic","repo":"safwankdb/Wasserstein-GAN","repo_kind":"listed","path":"wgan.py","file_url":"https://github.com/safwankdb/Wasserstein-GAN/blob/HEAD/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"58b3f3f3f2089fb2"}},{"code_sha256_prefix":"4e21586ab54e8180","entry":"train_generator","repo":"safwankdb/Wasserstein-GAN","repo_kind":"listed","path":"wgan.py","file_url":"https://github.com/safwankdb/Wasserstein-GAN/blob/HEAD/wgan.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"4e21586ab54e8180"}},{"code_sha256_prefix":"e6c64901f2937406","entry":"GP_Loss","repo":"shahbuland/basic-gans","repo_kind":"listed","path":"GP-WGAN-pytorch.py","file_url":"https://github.com/shahbuland/basic-gans/blob/HEAD/GP-WGAN-pytorch.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"e6c64901f2937406"}},{"code_sha256_prefix":"b5c1644a78d48827","entry":"create_image_lists","repo":"shekkizh/WassersteinGAN.tensorflow","repo_kind":"listed","path":"Dataset_Reader/read_celebADataset.py","file_url":"https://github.com/shekkizh/WassersteinGAN.tensorflow/blob/HEAD/Dataset_Reader/read_celebADataset.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b5c1644a78d48827"}},{"code_sha256_prefix":"c862e3a3a908331d","entry":"create_model","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"c862e3a3a908331d"}},{"code_sha256_prefix":"49ea509ebb1d3590","entry":"get_args","repo":"daheyinyin/wgan","repo_kind":"listed","path":"src/args.py","file_url":"https://github.com/daheyinyin/wgan/blob/HEAD/src/args.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"49ea509ebb1d3590"}},{"code_sha256_prefix":"239b602d01815085","entry":"read_dataset","repo":"shekkizh/WassersteinGAN.tensorflow","repo_kind":"listed","path":"Dataset_Reader/read_celebADataset.py","file_url":"https://github.com/shekkizh/WassersteinGAN.tensorflow/blob/HEAD/Dataset_Reader/read_celebADataset.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"239b602d01815085"}},{"code_sha256_prefix":"53065998bed260c3","entry":"train","repo":"MaximeVandegar/Papers-in-100-Lines-of-Code","repo_kind":"listed","path":"Wasserstein_GAN/wgan.py","file_url":"https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/blob/HEAD/Wasserstein_GAN/wgan.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"53065998bed260c3"}},{"code_sha256_prefix":"b1cce189d8a4c490","entry":"weight_variable","repo":"shekkizh/WassersteinGAN.tensorflow","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/shekkizh/WassersteinGAN.tensorflow/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b1cce189d8a4c490"}},{"code_sha256_prefix":"4fca58134a4f0785","entry":"weight_variable_xavier_initialized","repo":"shekkizh/WassersteinGAN.tensorflow","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/shekkizh/WassersteinGAN.tensorflow/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4fca58134a4f0785"}},{"code_sha256_prefix":"5645c84de7678d1e","entry":"xavier_init","repo":"shekkizh/WassersteinGAN.tensorflow","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/shekkizh/WassersteinGAN.tensorflow/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"5645c84de7678d1e"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}