lightweight-gan
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two (by lucidrains)
GlowIP
Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias" (by CACTuS-AI)
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| lightweight-gan | GlowIP | |
|---|---|---|
| 10 | 1 | |
| 1,599 | 20 | |
| - | - | |
| 3.2 | 10.0 | |
| over 1 year ago | almost 4 years ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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.
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.
lightweight-gan
Posts with mentions or reviews of lightweight-gan.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-18.
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[D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-)
GAN details: I trained using the code from https://github.com/lucidrains/lightweight-gan, image size is 256, attn-res-layers is [32,64], disc_output_size is 5 and I trained with AMP.
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Imagined ML model deployment on normal machine, is it possible?
Code for training your own [original] [simple] [light]
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It begins! [Sixth World Music Comp Update]
https://github.com/lucidrains/stylegan2-pytorch is the simplest implementation I know of, and https://github.com/lucidrains/lightweight-gan is similar but designed for relatively lower performance machines.
GlowIP
Posts with mentions or reviews of GlowIP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-18.
-
[D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-)
https://github.com/CACTuS-AI/GlowIP. Refer to the gan prior section of the code
What are some alternatives?
When comparing lightweight-gan and GlowIP you can also consider the following projects:
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
HyperGAN - Composable GAN framework with api and user interface
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
ALAE - [CVPR2020] Adversarial Latent Autoencoders
gigagan-pytorch - Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
vaegan - An implementation of VAEGAN (variational autoencoder + generative adversarial network).