Keras-GAN VS OASIS

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

Keras-GAN

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

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

Roundtrip - Roundtrip: density estimation with deep generative neural networks

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

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

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

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

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

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

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.

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

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