clean-fid VS OASIS

Compare clean-fid vs OASIS and see what are their differences.

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clean-fid OASIS
3 1
863 317
- 2.5%
2.6 10.0
2 months 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

clean-fid

Posts with mentions or reviews of clean-fid. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-10.

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 clean-fid and OASIS you can also consider the following projects:

pytorch-fid - Compute FID scores with PyTorch.

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

SDEdit - PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

Keras-GAN - Keras implementations of Generative Adversarial Networks.

torch-fidelity - High-fidelity performance metrics for generative models in PyTorch

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

Anime2Sketch - A sketch extractor for anime/illustration.

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

gangealing - Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

generative-evaluation-prdc - Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

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