lightweight-gan
anycost-gan
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lightweight-gan | anycost-gan | |
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10 | 1 | |
1,599 | 768 | |
- | 0.3% | |
3.2 | 2.5 | |
over 1 year ago | 7 months ago | |
Python | Python | |
MIT License | MIT License |
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lightweight-gan
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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)
anycost-gan
What are some alternatives?
HyperGAN - Composable GAN framework with api and user interface
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp
ALAE - [CVPR2020] Adversarial Latent Autoencoders
stylegan-waifu-generator - Generate your waifu with styleGAN, stylegan老婆生成器
gigagan-pytorch - Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
the-gan-zoo - A list of all named GANs!