OASIS VS Keras-GAN

Compare OASIS vs Keras-GAN and see what are their differences.

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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Keras-GAN

Keras implementations of Generative Adversarial Networks. (by eriklindernoren)
Deep Learning Gan Keras generative-adversarial-networks neural-networks
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OASIS Keras-GAN
1 1
317 9,105
2.5% -
10.0 0.0
over 1 year ago over 1 year ago
Python Python
GNU Affero General Public License v3.0 MIT License
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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.

Keras-GAN

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

What are some alternatives?

When comparing OASIS and Keras-GAN you can also consider the following projects:

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

Roundtrip - Roundtrip: density estimation with deep generative neural networks

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

Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with Keras, published by Packt

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

SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁

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.

VLDet - [ICLR 2023] PyTorch implementation of VLDet （https://arxiv.org/abs/2211.14843）

OASIS vs Deep-Exemplar-based-Video-Colorization Keras-GAN vs Roundtrip OASIS vs pytorch-CycleGAN-and-pix2pix Keras-GAN vs Advanced-Deep-Learning-with-Keras OASIS vs AdamP Keras-GAN vs SteganoGAN OASIS vs pix2pixHD Keras-GAN vs These-People-Do-Not-Exist OASIS vs clean-fid OASIS vs anycost-gan OASIS vs Anime2Sketch OASIS vs VLDet