hindupuravinash / the-gan-zoo Goto Github PK
View Code? Open in Web Editor NEWA list of all named GANs!
License: MIT License
A list of all named GANs!
License: MIT License
The RNN-WGAN's repo link https://github.com/liuyuemaicha/Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow is wrong. The true link is https://github.com/amirbar/rnn.wgan, which is owned by the author of the paper.
The "Adversarial Learning for Neural Dialogue Generation" is another paper using GAN idea, which has not been included in gan-zoo. The paper's link is https://arxiv.org/abs/1701.06547. The official repo is https://github.com/jiweil/Neural-Dialogue-Generation.
It would be great if you can add this new GAN
name: TrafficGAN
paper source: https://ieeexplore.ieee.org/abstract/document/8970742
It'd be great if you could add this one as well.
Tempered Adversarial Networks
https://arxiv.org/abs/1802.04374
Not sure if it qualifies, since it doesn't have any cool abbreviation in the title :)
It would be super useful if you would provide links to corresponding github projects with implementation as well.
Hi, dear,
I am thank you for the zoo. however, I can't seize some keywords I need when read the zoo to search a paper. Could you group it by years or category like 3D, image, etc.
My enligsh is poor and you can get my mean?
Thank you!
Impossible to read all of the titles...
Hi,I want to do experiments on GAN neural machine translation, but I don't know whether this model can be implemented and whether the code needs to be modified?
I am a beginner in NMT. Hope to give answers or suggestions.That would be really help!
Paper address:https://arxiv.org/abs/1905.01164
Source address:https://github.com/tamarott/SinGAN
Hi, Thx for this job, but I find that the link of SSGAN should be "https://arxiv.org/abs/1707.01613", may be you should fix this.
https://github.com/sindresorhus/awesome if you don't know what i'm talking about, seems like this would be quite fitting if reformatted right
The script timeline.py
is really useful in updating the cumulative distribution of GAN papers over time. However, I prefer not to launch it when adding new GANs because the size of the generated image differs from the original one whether I keep the original plot size or I put it in full screen.
Setting explicitly the size with plt.figure(figsize=..))
and saving the image to file with plt.savefig(..)
would standardize this step.
I am a freshman for GAN and want to learn it. Can someone tell me which GAN is the best at present? Thank you. O(∩_∩)O~~
It would be nice to have more information about models as date, author, underlying platform (Tensorflow, Pytorch, etc.), number of layer, etc.
AttGAN code has been released recently. https://github.com/LynnHo/AttGAN-Tensorflow
Thank you very much
A-SRGAN: is an attentional Super-resolution GAN applied to create HD images.
Step-Up GAN is a data continuation approach which was part of these works:
Hi,I want to do experiments on GAN based network traffic augmentation, but I don't know whether this model can be implemented and whether the code needs to be modified?
Generating Images with Perceptual Similarity Metrics based on Deep Networks. Maybe call it "DeePSiM" based on the paper?
DEEP MULTI-SCALE VIDEO PREDICTION BEYOND MEAN SQUARE ERROR. I can't come up with a proper abbreviation. : )
UNSUPERVISED LEARNING OF VISUAL STRUCTURE USING PREDICTIVE GENERATIVE NETWORKS. Maybe call it "PGN"?
So many papers about gan. I am a fresh man, I do not know which paper I should begin to read and learn. Anyone else could give some suggestion? Thanks.
hi, @hindupuravinash
Thanks for you contribution to the community, I found this paper is high cited and impactful in areas of applying GANs for domain adaptation tasks :)
Hi @hindupuravinash, I noticed that for Conditional GANs (CGANs) a recent work is reported (https://arxiv.org/abs/1703.06029), but the method was already introduced in 2014 (https://arxiv.org/abs/1411.1784).
If you check the references in arXiv:1703.06029,
you see the latter cited as previous work.
I just noticed that there is a github link available for ALI (Adversarially Learned Inference): https://github.com/IshmaelBelghazi/ALI
Kernel GANs - https://arxiv.org/abs/1705.09199
Hello, I would like to contribute to add a column in https://github.com/hindupuravinash/the-gan-zoo/blob/master/gans.tsv to access to implement of that particular GAN.
The website refered in the README.MD Deep Hunt does not work.
The link skip to a URL named https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fdeephunt.in%2F
Is the URL changed? What is the new one?
My problem is that I want to train a network to do the following: input a set of parameters and output a image. which gans can i use or at least refer to. anybody can help me?
ICCV 19
Paper title: Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
Paper: https://arxiv.org/abs/1908.06965
Github: https://github.com/mahfuzmohammad/Fixed-Point-GAN
Hello everyone,
I am working with infrared images about the objects in the sea for example boats, Can anyone suggest me a better GAN from the list that useful for generating new infrared images?
Note: GAN that also contains code and also support customized datasets
Thank you very much for your cooperation and time.
Hey, this is super useful, but in a quick glance if I'm looking for something that came out only in (let's say), the last 2 years, it'd be more informative to add the years of release next to the names as well!
But an awesome job with this!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.