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Hence, a higher number means a better pytorch-CycleGAN-and-pix2pix alternative or higher similarity.
pytorch-CycleGAN-and-pix2pix discussion
pytorch-CycleGAN-and-pix2pix reviews and mentions
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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- 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
[0] https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
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Stats
Basic pytorch-CycleGAN-and-pix2pix repo stats
10
23,986
2.4
about 1 year ago
junyanz/pytorch-CycleGAN-and-pix2pix is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of pytorch-CycleGAN-and-pix2pix is Python.
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