alias-free-gan-pytorch
Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch (by rosinality)
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch (by junyanz)
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| alias-free-gan-pytorch | pytorch-CycleGAN-and-pix2pix | |
|---|---|---|
| 5 | 10 | |
| 507 | 21,952 | |
| - | - | |
| 0.0 | 2.8 | |
| about 2 years ago | about 12 hours ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
alias-free-gan-pytorch
Posts with mentions or reviews of alias-free-gan-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-30.
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When is the alias-free GAN code going to be released?
And do you necessarily need the original NVidia implementation? It will be under a limited NVidia Source Code Licence anyway. Alias-free GAN has been already implemented by Rosinality https://github.com/rosinality/alias-free-gan-pytorch (MIT license) and is maintained and extended by duskvirkus https://github.com/duskvirkus/alias-free-gan
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Anime Alias-Free GAN Interpolation
I used Alias-Free GAN, which an unofficial implementation can be found here: https://github.com/rosinality/alias-free-gan-pytorch
Someone else did https://github.com/rosinality/alias-free-gan-pytorch!
- [D] Alias-Free GAN: The non-sticky & Improved StyleGAN2!
- Unofficial Implementation of Alias-Free Generative Adversarial Networks
pytorch-CycleGAN-and-pix2pix
Posts with mentions or reviews of pytorch-CycleGAN-and-pix2pix.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-16.
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List of AI-Models
Click to Learn more...
- I want an A.I. to learn my art style so I can keep making art in my art style despite not having the time to do it.
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I'm looking for an AI Art generator from images
pix2pix (https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) - This is a PyTorch implementation of the pix2pix algorithm for image-to-image translation. Given a set of images, the model can learn to generate a new image from a different domain that is similar to the input image.
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Seamless textures with SD and PBR maps with a pix2pix cGAN
Using junyanz/pytorch-CycleGAN-and-pix2pix as a basis for pix2pix, I applied the same blending method to fix seams. It essentially takes an input image and generates an output. The results depend on the paired training data. In this case, each map (height, roughness, etc.) is a separate checkpoint and had to be trained on paired training data with the diffuse as the input and the respective map as the output.
- IA art
- Segmentation and clasification with UNET
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Trying to understand PatchGAN discriminator
Code for https://arxiv.org/abs/1611.07004 found: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
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I made a 3d topographic map based on my recent civ6 game
pix2pix algorithm is used for translating Civ6Maps to heightmaps. Synthesized terrain was rendered in blender.
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This Wojak Does Not Exist
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
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Training a neural net to generate Wojaks
I'm working on creating a face-to-wojak model using PyTorch CycleGan/Pix2Pix [0] and found some of my outputs to be outrageous yet somehow relatable. People are into it so thought I'd share on HN