PassGAN VS OASIS

Compare PassGAN vs OASIS and see what are their differences.

PassGAN

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440) (by brannondorsey)
password-cracking Machine Learning Deep Learning Gan Password password-strength
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OASIS

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021) (by boschresearch)
semantic-image-synthesis Gan image-to-image-translation Computer Vision multi-modal generative-adversarial-networks Deep Learning Pytorch image-generation label-to-image-translation oasis iclr2021 Machine Learning bcai
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PassGAN OASIS
3 1
1,691 317
- 2.5%
0.0 10.0
about 1 year ago over 1 year ago
Python Python
MIT License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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PassGAN

Posts with mentions or reviews of PassGAN. We have used some of these posts to build our list of alternatives and similar projects.

OASIS

Posts with mentions or reviews of OASIS. We have used some of these posts to build our list of alternatives and similar projects.
  • StyleGAN-NADA: Blind Training and Other Wonders
    1 project | dev.to | 7 Dec 2022
    Conclusion So this is how StyleGAN-NADA, a CLIP-guided zero-shot method for Non-Adversarial Domain Adaptation of image generators, works. Although the StyleGAN-NADA is focused on StyleGAN, it can be applied to other generative architectures such as OASIS and many others.

What are some alternatives?

When comparing PassGAN and OASIS you can also consider the following projects:

joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

Keras-GAN - Keras implementations of Generative Adversarial Networks.

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

SDV - Synthetic data generation for tabular data

AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Anime2Sketch - A sketch extractor for anime/illustration.

PassGAN vs joliGEN OASIS vs Deep-Exemplar-based-Video-Colorization PassGAN vs fashion-mnist OASIS vs Keras-GAN PassGAN vs dnn_from_scratch OASIS vs pytorch-CycleGAN-and-pix2pix PassGAN vs SDV OASIS vs AdamP OASIS vs pix2pixHD OASIS vs clean-fid OASIS vs anycost-gan OASIS vs Anime2Sketch