faceswap-GAN
AvatarGAN
| faceswap-GAN | AvatarGAN | |
|---|---|---|
| 1 | 1 | |
| 3,328 | 62 | |
| - | - | |
| 0.0 | 3.8 | |
| about 2 years ago | 7 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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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.
AvatarGAN
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What will you do with your MtgoxNFT?
Could start with a GAN produced cartoon collection. https://github.com/aakashjhawar/AvatarGAN
What are some alternatives?
faceswap - Deepfakes Software For All
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Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
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GAN-Anime-Characters - Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
DCT-Net - Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization
RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957
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Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
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, ... 🧠
pillbox - Contains implementation of AdVIL, AdRIL, and DAeQuIL algorithms from the ICML '21 Paper Of Moments and Matching.