Artifact_Removal_GAN VS pix2pix

Compare Artifact_Removal_GAN vs pix2pix and see what are their differences.

pix2pix

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task. (by TheTensorDude)
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Artifact_Removal_GAN pix2pix
1 3
46 28
- -
0.0 0.0
about 3 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
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.

What are some alternatives?

When comparing Artifact_Removal_GAN and pix2pix you can also consider the following projects:

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

Cartoon-StyleGAN - Fine-tuning StyleGAN2 for Cartoon Face Generation

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

fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images

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

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

starreduction - A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022