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)
Our great sponsors
lightweight-gan | GlowIP | |
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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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I trained AI to generate OMORI image
Long short story, i trained AI called 'Lightweight' GAN with some image from the game (Steam version). The result isn't satisfying (either too similar with original image or distorted), but i decided to share it since it took 3-4 days.
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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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[P] - These Nebulae Do Not Exist
Trained lightweight-gan on public domain nebulae images. The blogpost covers how it was assembled end-to-end, from data scraping, to model training, and finally deploying it as a web app using free cloud services only
- Questi politici italiani non esistono
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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.
- Bow Generation Using Lightweight GAN (In Progress)
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GAN-generated Minecraft skins
I also regret using https://github.com/lucidrains/lightweight-gan over the standard StyleGAN2. The training time wasn't an issue for 128x128 images and I should have gone for the higher quality model.
- GAN-generated "Now That's What I Call Music!" CDs
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GAN-generated "Now That's What I Call Music!" covers
It's hard to tell if the medicore results are due to the small dataset (~305 semi-aligned images, yes there's that many of these) or my own inexperience in GAN generation (i used https://github.com/lucidrains/lightweight-gan and the only changes i made from the defaults were to decrease the batch size and add color augmentation)
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
vaegan - An implementation of VAEGAN (variational autoencoder + generative adversarial network).
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