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AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender!
reddit.com/r/blender | 2021-09-13
StyleGAN2-ADA is a neural network good at learning styles from images, you can give it a dataset and 'learn' its style into a file (a trained model). In this example, I load a model and given a random seed, generate a random texture which is applied to the object's material.
How do you generate those latent walk animations?
reddit.com/r/MLQuestions | 2021-07-14
I understand the concept you're describing, but I'm unsure how to implement it in practice. The documentation on Stylegan2's GitHub page doesn't mention anything on it I can see. https://github.com/NVlabs/stylegan2-adareddit.com/r/MLQuestions | 2021-07-14
You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py
[D] Do I need to apply spectral norm to my embedding matrix when training a conditional W-GAN?
reddit.com/r/MachineLearning | 2021-06-30
Can I train a model on 100 images of homes and have it draw a couple "average" homes?
reddit.com/r/MLQuestions | 2021-05-30
New 'The Sculpture 3'. 3d sculpting + neural network
reddit.com/r/NFT | 2021-04-27
no i dont.. but as for training - i just use default tf stylegan2-ada repo ( https://github.com/NVlabs/stylegan2-ada )
[R] EigenGAN: Layer-Wise Eigen-Learning for GANs
reddit.com/r/MachineLearning | 2021-04-26
You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation
reddit.com/r/learnmachinelearning | 2021-04-25
I have been making art with deep neural networks lately, and at some point one of them started outputting these cosmic creatures, so I thought I'd share.
reddit.com/r/DMT | 2021-04-21
This image looks awesome! And this process sounds really interesting, any more specific tips on where to get started? I studied Neuroscience, use Linux and Python for data analysis, but haven't done any image editing yet. I found the code https://github.com/NVlabs/stylegan2-ada but it seems like I need a GPU. Which I don't have, unless I use the servers at my university lol
An interpolation from an AI trained on liminal images
reddit.com/r/LiminalSpace | 2021-04-04
with a process called ADA https://github.com/NVlabs/stylegan2-ada
AI generated image for "Kerbal Space Program".
reddit.com/r/KerbalSpaceProgram | 2021-10-14
If you’d like to know more, here’s a video explaining the method and the paper: https://arxiv.org/abs/1912.04958
Pre-trained StyleGAN2 model
reddit.com/r/learnmachinelearning | 2021-07-27
The implementation and trained models are available on the StyleGAN2 GitHub repo.
AI-generated art day 3: Princess Luna!
reddit.com/r/mylittlepony | 2021-07-11
If you haven’t seen the previous posts, this art was made possible by This Pony Does Not Exist, which is powered by Nvidia’s StyleGAN2 AI. You can read more about the AI here.
[D] Paper regarding all ML problems reducing to diff eq..?
reddit.com/r/MachineLearning | 2021-07-08
Neural SDEs are the continuous-time limit of recurrent networks with noise as input. For example, StyleGAN2 is of this form. You can train Neural SDEs as VAEs or as GANs.
[R] Alias-Free GAN
reddit.com/r/MachineLearning | 2021-06-29
Innovative Technology NVIDIA StyleGAN2
dev.to | 2021-06-15
GitHub - NVlabs/stylegan2: StyleGAN2 - Official TensorFlow Implementation
reddit.com/r/cryptogeum | 2021-06-13
StyleGanV2 Nebula Loop!
reddit.com/r/space | 2021-05-31
Oversimplified, a machine learning model learns how space photos should look like and by varying the initial conditions we can create each frame of the clip. This part can be fairly extensive and if you would like to learn more I recommend checking out CGP Grey's video, 3Blue1Brown's series and StyleGanV2s github page itself
StyleGAN2 implementation in PyTorch with side-by-side notes
reddit.com/r/pytorch | 2021-05-23
Paper on arXiv
Final Year Project on DCGAN for MNIST: Need Advice from the Wise Minds of Reddit
reddit.com/r/MLQuestions | 2021-04-29
Most improvements from recent GANs' papers usually tinker with the network architecture or loss functions used. Eg. recent near-human quality StyleGANv2 used progressive growing networks, or the GAN that coined image-to-image translation used modified loss function to better learn mapping between images. You can try explore those two factors
What are some alternatives?
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
stylegan - StyleGAN - Official TensorFlow Implementation
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
stylegan2_pytorch - A Pytorch implementation of StyleGAN2
pix2pix - Image-to-image translation with conditional adversarial nets
ffhq-dataset - Flickr-Faces-HQ Dataset (FFHQ)