RefinementGAN VS Deep-Learning

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

RefinementGAN

Official implementation of the paper: https://arxiv.org/abs/2108.04957 (by consequencesunintended)
paper-implementations Tensorflow2 jupyter-notebook Deep Learning Machine Learning deep-neural-networks generative-adversarial-network Gan began simgan refinement-network
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Deep-Learning

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets). (by moein-shariatnia)
Deeplearning Machinelearning Machine Learning Deep Learning generative-adversarial-network image-colorization Tutorial paper-implementations conditional-gan Gan
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RefinementGAN Deep-Learning
1 1
3 147
- -
4.2 0.0
over 2 years ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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RefinementGAN

Posts with mentions or reviews of RefinementGAN. 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 RefinementGAN and Deep-Learning you can also consider the following projects:

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

Artifact_Removal_GAN - A U-net GAN for jpeg artifact removal

PTI - Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744

Animender - An AI that recommends anime based on personal history.

stylegan-encoder - StyleGAN Encoder - converts real images to latent space

GAN-Anime-Characters - Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

anime_biggan_toy - Generate Amazing Anime Pictures With BigGAN. Just Have Fun !!!

peacasso - UI interface for experimenting with multimodal (text, image) models (stable diffusion).

RefinementGAN vs gan-vae-pretrained-pytorch Deep-Learning vs pixel2style2pixel RefinementGAN vs AvatarGAN Deep-Learning vs AvatarGAN RefinementGAN vs Artifact_Removal_GAN Deep-Learning vs PTI RefinementGAN vs Animender Deep-Learning vs stylegan-encoder RefinementGAN vs GAN-Anime-Characters Deep-Learning vs anime_biggan_toy Deep-Learning vs Artifact_Removal_GAN Deep-Learning vs peacasso