DCT-Net VS stylegan-encoder

Compare DCT-Net vs stylegan-encoder and see what are their differences.

DCT-Net

Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization (by menyifang)

stylegan-encoder

StyleGAN Encoder - converts real images to latent space (by Puzer)
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DCT-Net stylegan-encoder
1 3
712 1,069
- -
3.4 0.0
7 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 GNU General Public License v3.0 or later
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.

DCT-Net

Posts with mentions or reviews of DCT-Net. 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 DCT-Net and stylegan-encoder you can also consider the following projects:

stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.

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

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

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

cartoonify - Deploy and scale serverless machine learning app - in 4 steps.

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

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

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

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

ydata-synthetic - Synthetic data generators for tabular and time-series data

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