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Pixel2style2pixel Alternatives
Similar projects and alternatives to pixel2style2pixel
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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StyleCLIP
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
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encoder4editing
Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
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stylegan3-editing
Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433
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restyle-encoder
Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Deep-Learning
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
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pytorch-gans
PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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PTI
Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better pixel2style2pixel alternative or higher similarity.
pixel2style2pixel reviews and mentions
Posts with mentions or reviews of pixel2style2pixel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-18.
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The one time it creates legible text
I wouldn't describe it like that. Consider a simpler example. StyleGAN can make plausible looking face that doesn't look like any of the individual faces it was trained on. It's not making a face collage out of this guy's chin pixels and that guy's eyebrows pixels. There's an easy way to test this: give it a photo of yourself or someone you know with something like pixel2style2pixel and it will probably give you back something convincing. But you weren't in the training. What it's actually doing is interpolating between plausible facial features in a space that it's laid for what human being could conceivably look like.
- stylegan3 encoder for image inversion
- desculpa bapo. mas nao fui eu, foi uma IA!!
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Am i the only one who thinks this lil guy looks alot like michele reves?
i think its this one https://github.com/eladrich/pixel2style2pixel
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I used AI to generate real life for honor character faces
What did you use to generate this? Was it https://github.com/eladrich/pixel2style2pixel or something else? Curious
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[R] a Metric for finding the best StyleGAN Latent Encoders
Right now we have encoders like pSp and restyle or encoder4editing, but how can we tell which one performs better than the other?
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[OC] This NPC Does Not Exist: I created an AI to generate NPC portraits
The portaitify tool uses pixel2style2pixel to invert a picture into a 'style vector' then generate the corresponding image with the stylegan 2 generator. Happy to a higher or lower level description if that's of interest!
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Should i start with Windows or Linux environment for ML?
Hi, recently I started playing with ML in python (anaconda in Windows 10), using relevant packages for tensorflow, torch and cuda and running some models. I would like to play with shared projects like the ones in https://paperswithcode.com/, like this one: https://github.com/eladrich/pixel2style2pixel, but many requiere Linux.
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How do I get a GAN to write a dubstep drop?
I did something like this. Many image GAN papers have implementations on GitHub, just pick the model you want. State-of-the-art image translation is probably something like Pixel2Style2Pixel (https://github.com/eladrich/pixel2style2pixel). Note that there are also wave GANs and they have slightly(?) better audio on average. With image models, typically people input mel spectrograms, which discard the phase information (you could also input 2 channel images for the real and complex parts, but I haven't seen any projects that do that). `librosa` has functions for the Fourier transform and its inverse (Griffin Lim algorithm), but if you want high quality reconstructions try using a neural network solution like WaveGlow to do the inverse conversion (if you're training a GAN, you can fine-tune WaveGlow). The biggest bottleneck is data - get as much data as possible. Also check out /r/machinelearning.
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www.saashub.com | 26 Apr 2024
Stats
Basic pixel2style2pixel repo stats
16
3,107
0.0
over 1 year ago
eladrich/pixel2style2pixel is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of pixel2style2pixel is Jupyter Notebook.
Popular Comparisons
- pixel2style2pixel VS stylegan2-ada-pytorch
- pixel2style2pixel VS stylegan3
- pixel2style2pixel VS encoder4editing
- pixel2style2pixel VS stylegan3-editing
- pixel2style2pixel VS ganspace
- pixel2style2pixel VS Deep-Learning
- pixel2style2pixel VS restyle-encoder
- pixel2style2pixel VS pytorch-gans
- pixel2style2pixel VS PTI
- pixel2style2pixel VS StyleCLIP
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