Artifact_Removal_GAN VS Deep-Learning

Compare Artifact_Removal_GAN vs Deep-Learning and see what are their differences.

Deep-Learning

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets). (by moein-shariatnia)
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Artifact_Removal_GAN Deep-Learning
1 1
46 148
- -
0.0 0.0
about 3 years ago 5 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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Artifact_Removal_GAN

Posts with mentions or reviews of Artifact_Removal_GAN. We have used some of these posts to build our list of alternatives and similar projects.

Deep-Learning

Posts with mentions or reviews of Deep-Learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Artifact_Removal_GAN and Deep-Learning you can also consider the following projects:

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

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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