lightweight-gan
HyperGAN
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lightweight-gan | HyperGAN | |
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10 | 2 | |
1,599 | 1,189 | |
- | 0.0% | |
3.2 | 0.0 | |
over 1 year ago | about 1 year 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)
HyperGAN
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Machine learning software that generates images?
And then there's software already prebaked that can do it, but its really taxing on a pc, its called hyperGAN.
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So I trained an AI to generate Pokemon sprites and this is the result
There is something called HyperGAN which builds generative adversarial networks (GANs) and those networks take some images as input and give those as output. Here is the GitHub page for that.
What are some alternatives?
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
ALAE - [CVPR2020] Adversarial Latent Autoencoders
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
gigagan-pytorch - Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
pytorch-pretrained-BigGAN - 🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement