Deep-Learning VS AvatarGAN

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

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Deep-Learning AvatarGAN
1 1
147 62
- -
0.0 3.8
4 months ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

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.

AvatarGAN

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

What are some alternatives?

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

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

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

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

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

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

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

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

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Artifact_Removal_GAN - A U-net GAN for jpeg artifact removal

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, ... 🧠

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

faceswap-GAN - A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.