pytorch-AdaIN
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017] (by naoto0804)
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch) (by taesungp)
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| pytorch-AdaIN | contrastive-unpaired-translation | |
|---|---|---|
| 1 | 6 | |
| 1,001 | 2,102 | |
| - | - | |
| 0.0 | 2.1 | |
| 3 months ago | 8 months ago | |
| Python | Python | |
| MIT License | 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.
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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.
pytorch-AdaIN
Posts with mentions or reviews of pytorch-AdaIN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-19.
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[P] Can't finish my master's thesis. What to do?
Thanks for the comment. I am using the 3d views directly. I tried to use some form of style transfer (https://github.com/naoto0804/pytorch-AdaIN) from real to synth data, but the result was'nt that appealing, so I moved on. I guess that it could be due to the fact that generally the real data that I have has low resolution (120x40 tipically). I ll have a check on the model that you suggested though, seems interesting.
contrastive-unpaired-translation
Posts with mentions or reviews of contrastive-unpaired-translation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-09.
- Help me with my GANS project
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[D] What is current SOTA in Image to Image Translation?
For unpaired image-to-image translation, the SOTA is probably Contrastive Unpaired Translation, which is developed by the same group that developed CycleGAN and is kind of the successor algorithm.
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[P] Can't finish my master's thesis. What to do?
Here is link number 1 - Previous text "CUT"
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[D] What are techniques for few shot domain adaptation?
Code for https://arxiv.org/abs/2007.15651 found: https://github.com/taesungp/contrastive-unpaired-translation
- [D] What's the successor to pix2pixHD
What are some alternatives?
When comparing pytorch-AdaIN and contrastive-unpaired-translation you can also consider the following projects:
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs