faceswap-GAN VS DCT-Net

Compare faceswap-GAN vs DCT-Net and see what are their differences.

faceswap-GAN

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping. (by shaoanlu)
face-swap generative-adversarial-network Gan Gans image-manipulation
Source Code
Suggest alternative
Edit details

DCT-Net

Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization (by menyifang)
cartoonization Gan generative-adversarial-network Portrait siggraph2022 style-transfer
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
faceswap-GAN DCT-Net
1 1
3,328 712
- -
0.0 3.4
about 2 years ago 7 months ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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.

faceswap-GAN

Posts with mentions or reviews of faceswap-GAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-28.
  • [D] How is it checked if models do not just memorize their training examples?
    2 projects | /r/MachineLearning | 28 Apr 2022
    But there's a nice survey on Arxiv here of various deepfake / face swap methods. Some of methods listed in the table on page 4, such as Faceswap and Faceswap-GAN, apparently use encoder-decoder models. I think Faceswap-GAN was the one that I was thinking of in particular; apparently it adds a perceptual loss and an adversarial loss to an autoencoder.

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.

What are some alternatives?

When comparing faceswap-GAN and DCT-Net you can also consider the following projects:

faceswap - Deepfakes Software For All

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

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

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

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

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

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

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

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

animegan2-pytorch - PyTorch implementation of AnimeGANv2

faceswap-GAN vs faceswap DCT-Net vs stable-diffusion-reference-only faceswap-GAN vs CycleGAN DCT-Net vs lama faceswap-GAN vs pytorch-CycleGAN-and-pix2pix DCT-Net vs cartoonify faceswap-GAN vs AvatarGAN DCT-Net vs ganspace faceswap-GAN vs ydata-synthetic DCT-Net vs stylegan-encoder DCT-Net vs ydata-synthetic DCT-Net vs animegan2-pytorch