Deep-Learning VS stylegan-encoder

Compare Deep-Learning vs stylegan-encoder 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)
Deeplearning Machinelearning Machine Learning Deep Learning generative-adversarial-network image-colorization Tutorial paper-implementations conditional-gan Gan
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stylegan-encoder

StyleGAN Encoder - converts real images to latent space (by Puzer)
generative-adversarial-network Gan perceptual-losses
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Deep-Learning stylegan-encoder
1 3
147 1,069
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0.0 0.0
4 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
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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.

stylegan-encoder

Posts with mentions or reviews of stylegan-encoder. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-29.
  • D Simple Questions Thread December 20 2020
    1 project | /r/MachineLearning | 6 Jan 2021
    Hello! I am trying to run stylegan-encoder using their pre-written jupyter notebook. I am using tensorflow 1.14 and have ensured that it is connected to a GPU on google colab.
    1 project | /r/MachineLearning | 29 Dec 2020
    I'm working with StyleGAN-encoder, using the code from this jupyter notebook.
  • Face2comics Custom Stylegan2 With Psp Encoder
    2 projects | /r/computervision | 29 Dec 2020
    I quad transform face first when aligning (using FFHQ dataset script https://github.com/Puzer/stylegan-encoder/blob/master/ffhq_dataset/face_alignment.pyadapted to MTCNN 5-ish landmarks instead of 68 landmarks from dlib that's used there). Modified alignment functon also returns all transforms made to the face, so I can later use quad transform to realign and paste it back.

What are some alternatives?

When comparing Deep-Learning and stylegan-encoder 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

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

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

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

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

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

Artifact_Removal_GAN - A U-net GAN for jpeg artifact removal

DotA2-Icon-GAN - Using GANs to generate DotA2 Ability Icons

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

TraVeLGAN_with_perceptual_loss - The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.

Deep-Learning vs pixel2style2pixel stylegan-encoder vs Cartoon-StyleGAN Deep-Learning vs AvatarGAN stylegan-encoder vs ganbert-pytorch Deep-Learning vs PTI stylegan-encoder vs PTI Deep-Learning vs anime_biggan_toy stylegan-encoder vs ganspace Deep-Learning vs Artifact_Removal_GAN stylegan-encoder vs DotA2-Icon-GAN Deep-Learning vs peacasso stylegan-encoder vs TraVeLGAN_with_perceptual_loss