Papers › Wasserstein GAN

Wasserstein GAN

26 Jan 2017arXiv:1701.07875archive 2025-07-28

Martin Arjovsky, Soumith Chintala, Léon Bottou

We introduce a new algorithm named WGAN, an alternative to traditional GAN training. In this new model, we show that we can improve the stability of learning, get rid of problems like mode collapse, and provide meaningful learning curves useful for debugging and hyperparameter searches. Furthermore, we show that the corresponding optimization problem is sound, and provide extensive theoretical work highlighting the deep connections to other distances between distributions.

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Code

Syntology Ran 13 of 22 code samples harvested from 6 repositories linked to this paper; 9 have no recorded run. Of those that ran: 1 ran · honoured contract; 10 ran · our draft was wrong; 2 ran · fixture could not drive it.

By repository: community (archive-listed): 17 samples from 6 repositories, 9 ran; 5 identical to code first harvested elsewhere. The run record, sample by sample. “Ran” means executed on a synthesized input, not that the code is correct or reproduces the paper.

120 repositories listed; official and paper-mentioned ones first.

AlexMGitHub/PokeGAN mentioned on GitHubpytorch report
Ars235/Novelty_Detection mentioned on GitHubpytorch report
ChengBinJin/WGAN-TensorFlow mentioned on GitHubtf report
LEEPEIQIN/EDSR mentioned on GitHubpytorchMIT report
LWChen20/RCAN mentioned on GitHubpytorchMIT report
MMadhatter/wgan-mindspore mentioned on GitHubmindspore report
MasoumehVahedi/GANs-Model mentioned on GitHubpytorch report
Michael-T-McCann/simple-WGAN mentioned on GitHubpytorch report
Mind23-2/MindCode-90 mentioned on GitHubmindspore report
NeuralVFX/wasserstein-gan mentioned on GitHubpytorch report
Sean-Hastings/WGAN mentioned on GitHubpytorch report
SimoneDutto/EDSR mentioned on GitHubpytorch report
Sinestro38/qosf-qgan mentioned on GitHub report
SongDark/generate_normal mentioned on GitHubtf report
TanyaChutani/WGAN-TF2 mentioned on GitHubtf report
TanyaChutani/WGAN-TF2.x mentioned on GitHubtf report
Tejas-Nanaware/GAN-Anime-Characters mentioned on GitHubpytorch report
VitoRazor/Gan_Architecture mentioned on GitHubtfGPL-3.0 report
WangZesen/WGAN-GP-Tensorflow-v2 mentioned on GitHubtf report
Zachdr1/WGAN mentioned on GitHubtf report
adler-j/bwgan mentioned on GitHubtf report
aelnouby/Text-to-Image-Synthesis mentioned on GitHubpytorch report
akashpalrecha/deblurring-pipeline mentioned on GitHubpytorchMIT report
akashpalrecha/superres-deformable mentioned on GitHubpytorchMIT report
akshay-gupta123/WGAN mentioned on GitHubtf report
alectryonexamples/gan_tf2 mentioned on GitHubtf report
amoghadishesha/W-gan-Simple mentioned on GitHubtf report
apisarek/gan_advances mentioned on GitHubpytorch report
arnonbruno/ganify mentioned on GitHubtfMIT report
beresandras/gan-flavours-keras mentioned on GitHubtfMIT report
bhargavajs07/Packed_WGAN_GP_Example mentioned on GitHubpytorch report
catalyst-team/gan mentioned on GitHubpytorch report
chanshing/geocondition mentioned on GitHubpytorch report
chiqunz/Unsupervised_Models mentioned on GitHubtf report
croesuslab/RCTGAN mentioned on GitHubNOASSERTION report
dabsdamoon/Anime-Colorization mentioned on GitHubmxnet report
dabsdamoon/Anime-Colorization-v0.2 mentioned on GitHubmxnet report
daheyinyin/wgan mentioned on GitHubmindsporeApache-2.0 report
divyam25/Oh-My-GAN mentioned on GitHubpytorch report
donand/GAN_pytorch mentioned on GitHubpytorch report
eriklindernoren/Keras-GAN mentioned on GitHubpytorch report
eriklindernoren/PyTorch-GAN mentioned on GitHubpytorch report
franroldans/tfm-franroldan-wav2pix mentioned on GitHubpytorch report
hse-cs/probaforms mentioned on GitHubpytorch report
huybik/GAN-Experiments-Pytorch mentioned on GitHubpytorch report
huybik/GANs-Pytorch mentioned on GitHubpytorch report
ja3067/wgan-pytorch mentioned on GitHubpytorch report
jher123/GAN-experiments mentioned on GitHubpytorch report
jher123/WGAN-experiments mentioned on GitHubpytorch report
joeylitalien/celeba-gan-pytorch mentioned on GitHubpytorch report
kangyeolk/pytorch-gan-collections mentioned on GitHubpytorch report
kynk94/TF2-Image-Generation mentioned on GitHubtf report
landeros10/infoganJL mentioned on GitHub report
laowng/GISR mentioned on GitHubpytorchMIT report
leejaeka/PixelGAN mentioned on GitHub report
leejaeka/incrementum mentioned on GitHubpytorch report
leoHeidel/vae-gan-tf2 mentioned on GitHubtf report
manicman1999/Sword-GAN32 mentioned on GitHub report
markmaxt/VideoSR mentioned on GitHubpytorchMIT report
marload/GANs-TensorFlow2 mentioned on GitHubtf report
marload/TensorFlow2-GANs mentioned on GitHubtf report
martinarjovsky/WassersteinGAN mentioned on GitHubpytorchBSD-3-Clause report
matjazmav/fri-2021-ibb-seminar mentioned on GitHubpytorch report
maxmax1992/WGAN_WGAN-GP mentioned on GitHubpytorch report
mbarbetti/tf-gen-models mentioned on GitHubtf report
nannau/DoWnGAN mentioned on GitHubpytorchGPL-3.0 report
polmonroig/faceGAN mentioned on GitHubpytorch report
rkem1542/EDSR-pytorch mentioned on GitHubpytorchMIT report
rmyhovych/wgan mentioned on GitHubpytorch report
safwankdb/Wasserstein-GAN mentioned on GitHubpytorch report
sanghyun-son/EDSR-PyTorch mentioned on GitHubpytorchMIT report
shahbuland/basic-gans mentioned on GitHubpytorch report
shekkizh/WassersteinGAN.tensorflow mentioned on GitHubtfMIT report
snow-mn/GAN-INT-CLS mentioned on GitHubpytorch report
spandan2/Wgan-GP_cats mentioned on GitHubpytorch report
thstkdgus35/EDSR-PyTorch mentioned on GitHubpytorchMIT report
triple7/Keras-WGAN-RGB-128x128 mentioned on GitHubtf report
u7javed/Conditional-WGAN-GP mentioned on GitHubpytorch report
unicredit/ganzo mentioned on GitHubpytorch report
wayne1123/mnist_wgan_gp mentioned on GitHubpytorch report
wikibook/keras mentioned on GitHubtfMIT report
wuhuikai/GP-GAN mentioned on GitHubtfMIT report
yjhong89/Domain-Adaptation mentioned on GitHubtf report
zeleni9/pytorch-wgan mentioned on GitHubpytorch report
zhusiling/EDSR mentioned on GitHubpytorchMIT report
zzmtsvv/adversarial mentioned on GitHubpytorch report
HsiehKang/wgan Apache-2.0 report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

22 samples harvested; 13 ran; 1 honoured the contract we drafted; 9 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

1ran · honoured contract
10ran · our draft was wrong
2ran · fixture could not drive it
9unverified

Licence: 13 of the 22 samples are pointer only, meaning Syntology does not serve that copy's text. This page shows no code text for any sample; each one links to its file in the repository.

Harvested from 6 repositories linked to this paper, official or community; each sample names its own and says which. Some samples are identical code Syntology first harvested from another repository; for those, this paper's copy is not located and its licence is not recorded. “Ran” means the sample executed on a synthesized input. It does not mean the output is correct, and nothing here reproduces the paper's results. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code.

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W_Loss shahbuland/basic-gans/GP-WGAN-pytorch.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · 1ed8e07513aa3597 · report
loss_mod_f_disc rmyhovych/wgan/wgan.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · 54c81a1299e9981e · report
loss_mod_f_gen rmyhovych/wgan/wgan.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · cdc18420f3a1336d · report
loss_wasserstein_f_gen rmyhovych/wgan/wgan.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · b791fcf70f47f853 · report
moving_average MaximeVandegar/Papers-in-100-Lines-of-Code/Wasserstein_GAN/wgan.py community (archive-listed) ran · our draft was wrong fingerprinted MIT (permissive) · 8b7e4c7f96e7694c · report
noise safwankdb/Wasserstein-GAN/wgan.py community (archive-listed) ran · fixture could not drive it no licence file found · pointer only · 9dd51c421620b70a · report
sample_noise MaximeVandegar/Papers-in-100-Lines-of-Code/Wasserstein_GAN/wgan.py community (archive-listed) ran · honoured contract MIT (permissive) · 561c628f77383ba9 · report
train_critic safwankdb/Wasserstein-GAN/wgan.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · 58b3f3f3f2089fb2 · report
train_generator safwankdb/Wasserstein-GAN/wgan.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · 4e21586ab54e8180 · report
GP_Loss shahbuland/basic-gans/GP-WGAN-pytorch.py community (archive-listed) unverified no licence file found · pointer only · e6c64901f2937406 · report
create_image_lists shekkizh/WassersteinGAN.tensorflow/Dataset_Reader/read_celebADataset.py community (archive-listed) unverified MIT (permissive) · b5c1644a78d48827 · report
get_args daheyinyin/wgan/src/args.py community (archive-listed) unverified Apache-2.0 (permissive) · 49ea509ebb1d3590 · report
read_dataset shekkizh/WassersteinGAN.tensorflow/Dataset_Reader/read_celebADataset.py community (archive-listed) unverified MIT (permissive) · 239b602d01815085 · report
train MaximeVandegar/Papers-in-100-Lines-of-Code/Wasserstein_GAN/wgan.py community (archive-listed) unverified MIT (permissive) · 53065998bed260c3 · report
weight_variable shekkizh/WassersteinGAN.tensorflow/utils.py community (archive-listed) unverified MIT (permissive) · b1cce189d8a4c490 · report
weight_variable_xavier_initialized shekkizh/WassersteinGAN.tensorflow/utils.py community (archive-listed) unverified MIT (permissive) · 4fca58134a4f0785 · report
xavier_init shekkizh/WassersteinGAN.tensorflow/utils.py community (archive-listed) unverified MIT (permissive) · 5645c84de7678d1e · report
gallery identical code first harvested elsewhere ran · fixture could not drive it fingerprinted licence of this copy not recorded · 278a4cc6c445af9d · report
generator_loss identical code first harvested elsewhere ran · our draft was wrong fingerprinted licence of this copy not recorded · bedb8cd7ec02640d · report
latent_lerp identical code first harvested elsewhere ran · our draft was wrong licence of this copy not recorded · ed31414e5c54cdd9 · report
screen_lerp identical code first harvested elsewhere ran · our draft was wrong fingerprinted licence of this copy not recorded · 33614cf1f2bf5b64 · report
create_model identical code first harvested elsewhere unverified licence of this copy not recorded · c862e3a3a908331d · report

Tasks

Image GenerationSynthetic Data Generation

Results from the paper archive 2025-07-28

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Methods

Introduced by this paper: WGAN

AdaGradConvolutionWGAN

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