Related Issues (20)
- [Paper] Fast Face-swap Using Convolutional Neural Networks HOT 3
- [Google Research Blog] Mobile Real-time Video Segmentation
- GitHub repos for 3D Face Model
- Resources on faces/poses generative network HOT 1
- Resources for image refinment HOT 2
- Learning rate, beta1, beta 2 in adam optimizer in models HOT 11
- neural enchance to improve resolution HOT 1
- Survey of Model Improvements Proposals HOT 1
- [Featured] Deepfakes uses in the wild HOT 2
- [Paper] Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network HOT 5
- Paper & source: progressive growing of gans HOT 4
- Why do two autoencoders need to be trained? HOT 2
- Histogramm loss func.
- How do I reuse models in other faceswaps? HOT 4
- Does anyone successfully train a generic encoder?
- Paper : Boundary-Aware Face Alignment Algorithm
- How does the loss minimize if autoencoder_B keeps changing the weights learned by autoencoder_A ? HOT 2
- Why do we use warped images as part of the loss function?
- can anyone tell me what is a masked model ? HOT 1
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