contrastive-unpaired-translation | PyTorch implementation of unpaired image

by Karol-G Python Version: Current License: Non-SPDX

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kandi X-RAY | contrastive-unpaired-translation Summary

contrastive-unpaired-translation is a Python library. contrastive-unpaired-translation has no bugs, it has no vulnerabilities, it has build file available and it has low support. However contrastive-unpaired-translation has a Non-SPDX License. You can download it from GitHub.

We provide our PyTorch implementation of unpaired image-to-image translation based on patchwise contrastive learning and adversarial learning. No hand-crafted loss and inverse network is used. Compared to CycleGAN, our model training is faster and less memory-intensive. In addition, our method can be extended to single image training, where each “domain” is only a single image. Contrastive Learning for Unpaired Image-to-Image Translation Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu UC Berkeley and Adobe Research In ECCV 2020.

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contrastive-unpaired-translation has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

contrastive-unpaired-translation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of contrastive-unpaired-translation is current.

Quality

contrastive-unpaired-translation has no bugs reported.

Security

contrastive-unpaired-translation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

contrastive-unpaired-translation has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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contrastive-unpaired-translation releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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contrastive-unpaired-translation Key Features

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contrastive-unpaired-translation Examples and Code Snippets

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Install contrastive-unpaired-translation

Install PyTorch 1.1 and other dependencies (e.g., torchvision, visdom, dominate, gputil). For pip users, please type the command pip install -r requirements.txt. For Conda users, you can create a new Conda environment using conda env create -f environment.yml.
Clone this repo:
Install PyTorch 1.1 and other dependencies (e.g., torchvision, visdom, dominate, gputil). For pip users, please type the command pip install -r requirements.txt. For Conda users, you can create a new Conda environment using conda env create -f environment.yml.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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