CycleGAN
faceswap-GAN
| CycleGAN | faceswap-GAN | |
|---|---|---|
| 2 | 1 | |
| 12,138 | 3,328 | |
| - | - | |
| 2.5 | 0.0 | |
| 8 months ago | about 2 years ago | |
| Lua | Jupyter Notebook | |
| GNU General Public License v3.0 or later | - |
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CycleGAN
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good computer vision or deep learning projects in github
CycleGAN (GitHub: https://github.com/junyanz/CycleGAN) is a deep learning-based image-to-image translation approach without paired examples, implemented in PyTorch.
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AI will take over all the jobs
It's image translation, check this out https://github.com/junyanz/CycleGAN
faceswap-GAN
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[D] How is it checked if models do not just memorize their training examples?
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.
What are some alternatives?
pix2pix - Image-to-image translation with conditional adversarial nets
faceswap - Deepfakes Software For All
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
DCT-Net - Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
ydata-synthetic - Synthetic data generators for tabular and time-series data
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.